Mathworks COMMUNICATIONS TOOLBOX RELEASE NOTES RELEASE NOTE

Communications Toolbox™ Release Notes
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Communications Toolbox™ Release Notes
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Summary by Version ............................... 1
Version 4.5 (R2010a) Communications Toolbox
Software
Version 4.4 (R2009b) Communications Toolbox
Software
Version 4.3 (R2009a) Communications Toolbox
Software
Version 4.2 (R2008b) Communications Toolbox
Software
Version 4.1 (R2008a) Communications Toolbox
Software
........................................ 4
........................................ 8
........................................ 13
........................................ 16
........................................ 18
Contents
Version 4.0 (R2007b) Communications Toolbox
Software
Version 3.5 (R2007a) Communications Toolbox
Software
Version 3.4 (R2006b) Communications Toolbox
Software
Version 3.3 (R2006a) Communications Toolbox
Software
Version 3.2 (R14SP3) Com munications Toolbox
Software
Version 3.1 (R14SP2Communications Toolbox
Software
........................................ 21
........................................ 24
........................................ 27
........................................ 29
........................................ 30
........................................ 31
iii
Version 3.0.1 (R14SP1) Communications Toolbox
Software
........................................ 33
Version 3.0 (R14) Communications Toolbox Software
Version 2.1 (R13) Communications Toolbox Software
Version 2.0 (R12) Communications Toolbox Software
Communications Toolbox Release Notes Compatibility
Summary
....................................... 65
.. 34
.. 45
.. 57
iv Contents

SummarybyVersion

This table provides quick access to what’s new in each version. For clarification, see “ Using Release Notes” on page 2 .
Communications Toolbox™ Release N otes
Version (Release)
Latest Versi V4.5 (R2010a
V4.4 (R2009b)
V4.3 (R2009a)
V4.2 (R2
V4.1 (R2008a)
V4.0 (R2007b)
V3.5 (
V3.4 (R2006b)
008b)
R2007a)
New Features and Changes
on
Yes
)
Details
Yes Details
Yes Details
Yes Details
Yes Details
Yes Detai
Yes Details
Yes Details
Version Compatibilit Consideratio
Yes Summary
Yes Summary
Yes Summary
No Bug Reports
No Bug Reports
No Bug Re
ls
Yes Summary
Yes Summary
Fixed Bugs
y
and Known
ns
Problems
Bug Reports Includes fix
Bug Reports Includes fixes
Bug Repor Includes
Includes fixes
Includes fixes
ports
des fixes
Inclu
Bug Reports Includes fixes
Bug Reports No
es
ts
fixes
Related Documentation at Web Site
Printable R elease Notes: PDF
Current product documentation
No
No
No
No
No
No
V3.3 (R2006a)
.2 (R14SP3)
V3
V3.1 (R14SP2)
Yes
ails
Det
Yes Details
Yes Details
No Bug
No Bug Reports No
Yes Summary
Reports
ludes fixes
Inc
Bug Reports Includes fixes
No
No
1
Communications Toolbox™ Release Notes
Version (Release)
V3.0.1 (R14SP1)
V3.0 (R14)
V2.1 (R13)
V2.0 (R12)

New Features and Changes

Yes Details
Yes Details
Yes Details
Yes Details
Version Compatibility Considerations
No
Yes Summary
Yes Summary
Yes Summary
Fixed Bugs and Known Problems
Fixed bugs
Fixed bugs
Fixed bugs and known problems
Fixed bugs
Related Documentation at Web Site
No
No
No
No

Using Release Notes

Use release notes when upgrading to a newer version to learn about:
New features
Changes
Potential impact on your existing files and practices
Review the release notes for other MathWorks™ products required for this product (for example, MATLAB bugs, or compatibility considerations in other products impact you.
®
or Simulink®). Determine if enhancements,
If you are upgrading from a software version other than the m ost recent one, review the current release notes and all interim versions. For example, when you upg rade from V1.0 to V1.2, review the release notes for V1.1 and V1.2.

What Is in the Release Notes

New Features and Changes
New functionality
Changes to existing functionality
2
SummarybyVersion

Version Compatibility Con si derations

When a new feature or change introduces a reported incompatibility between versions, the Compatibility Considerations subsection explains the impact.
Compatibility issues reported after the product release appear under Bug Reports at The MathWorks™ Web site. Bug fixes can sometimes result in incompatibilities, so review the fixed bugs in Bug Reports for any compatibility impact.

Fixed Bugs and Known Problems

The MathWorks offers a user-searchable Bug Reports database so you can view Bug Reports. The development team updates this database at release time and as more information becomes available. Bug Reports include provisions for any known workarounds or file replacem ents. Information is available for bugs existing in or fixed in Release 14SP2 or later. Information is not avail able for all bugs in earlier releases.
Access Bug Reports using y our MathWorks Account.
3
Communications Toolbox™ Release Notes

Version 4.5 (R2010a) Communications Toolbox Software

This table summarizes what’s new in Version 4.5 (R2010a):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes Summary
“Error Rate Test Console Enhancements” on page 4
“biterr Function Supports Logical Input Arguments” on page 6
“Demos” on page 7
Fixed Bugs an d Known Problems
Bug Reports Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation

Error Rate Test Console Enhancements

The Error Rate Test Console now contains:
Plotting enhancements,
A new stop simulation option
Simultaneous specification of sweep values
Descriptions for test probes
Surface Plotting Capabilities
The r esul ts object supports a new surface plotting method. The surf(r) method creates a 3 -D, color, surface plot based on the results available in t he
results object. The following items define the surface plot:
The test point you specify using the
object
The test metric currently you specify in the
object
TestPoint property of the results
Metric property of the results
4
Version 4.5 (R2010a) Communica tions Toolbox™ Software
For more information see testconsole.Results.
New Stop Simulation Option
The SimulationLimitOption property supports a new stop option: ’Number of errors and transmissions’.
Use this selection when you want to simulate a slow fading channel. The number of transmissions ensures a minimum number of errors occur. These multiple runs provide a long enough observation time for both deep fades and high gain phases of the channel to appear. For more information, see
commtest.ErrorRate.
Simultaneous Specification of Sweep Values
The setTestParameterSweepValues method now supports simultaneous specification of sweep values, allowing you to specify the sweep values for multiple registered test parameters at one time. For more information, se e the
setTestParameterSweepValues method section of the commtest.ErrorRate
help page.
The simulation runs for a number of transmissions. Through these runs, the toolbox ensures that a minimum number of errors occur. These multiple runs also provide a long enough observation time for both deep fades and high gain phases of the channel to appear.
Probe Descriptions
You can add a description for a probe in the system under test. You can read the description for the probe using Error Rate Test Console. This enhancement allows you to review the probe’s use without having to access the code for the system under test. For more information, see “Registering Test Probes” in the Communications Toolbox™ User’s Guide.
getTestProbeDescription method of the
Parsing of Results
The results object ha s two new m ethods, setParsingVal ue s and getParsingValues. which are relevant for parsing and plotting data.
5
Communications Toolbox™ Release Notes
Use these methods to specify single sweep values for test parameters that differ from the ones in TestParameter1 and TestParameter2. The results object returns data values or plots that correspond to test p arameters you specify in TestParameter1 and TestParameter2 and single sweep values you specify using the setParsingValues method for all additional test parameters. The parsing values default to the first value in the sweep vector of each test parameter.
You display the current parsingvaluesbycallingthegetParsingValues method of the results object.
For more information, see: Parsing and Plotting Results for Multiple Parameter Simulations,
Compatibility Considerations
Loading a test console object defined in a previous version of the Error Rate Test Console software results in a warning message. The warning instructs you to resave the test console object. To prevent this warning from appearing, resave the test console object using the latest version of the Error Rate Test Console software.
testconsole.Results and commtest.ErrorRate.
Surface Plotting Capabilities. The plotting method. The on the results available in the
surf(r) method creates a 3-D, color, surface plo t based
results object. The following items define
results object supports a new surface
the surface plot:
The test point you specify using the
TestPoint property of the results
object
The test metric currently you specify in the
Metric property of the results
object
For more information see
testconsole.Results.

biterr Function Supports Logical Input Arguments

The biterr function now accepts logical input arguments. For more information, including examples, see the Communications Toolbox Reference Guide.
6
biterr help page in the
Version 4.5 (R2010a) Communica tions Toolbox™ Software

Demos

This release contains a new demo, Passband Modulation with Adjacent Channel Interference, which shows how to use baseband modulators and demodulators with frequency upconversion and downconversion to simulate passband communication systems.
7
Communications Toolbox™ Release Notes

Version 4.4 (R2009b) Communications Toolbox Software

This table summarizes what’s new in Version 4.4 (R2009b):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes Summary
New features and changes introduced in this version are:
“Adjacent Channel Power Ratio (ACPR) Measurements” on page 8
“New EVM Normalization Options” on page 9
“Error Rate Test Console” on page 9
“Channel Objects Support Parallel Co m puting Toolbox” on page 9
“New Demos” on page 10
“Functions and Function Elements Being Removed” on page 11
Fixed Bugs an d Known Problems
Bug Reports Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation

Adjacent Channel Power Ratio (ACPR) Measurements

Adjacent channel power ratio (ACPR) calculations characterize spectral regrowth, caused by amplifier nonlinearity, in a communications system component, such as a modulator or an analog front end. These calculations determine the likelihood that a given system causes interference with an adjacent channel.
Many present transmission standards, such as IS-95, CDMA, WCDMA,
802.11, and Bluetooth, contain a definition for ACPR measuremen ts. Most standards define ACPR measurements as the ratio of the average power in the main channel and any adjacent channels. The specific offset frequencies and measurement bandwidths (BWs) you use depends on the specific industry standard you are using. For instance, measurements of CDMA amplifiers
8
Version 4.4 (R2009b) Communica tions Toolbox™ Software
involve two offsets (from the carrier frequency) of 885 kHz and 1.98 MHz, and a measurement BW of 30 KHz.
For more information, see the ACPR M easurement Tutorial in the Communications Toolbox User’s G uide.
commmeasure.ACPR help page or Overview of

New EVM Normalization Options

commmeasure.EVM now supports three normalization options. You can
normalize measurements according to the average power of the reference signal, average constellation power, or peak constellation power. This enhancement provides you with the flexibility to use EVM normalization with the different definitions of EVM measurements that appear in various industry standards. Typically, the variations in these standards pertain to the normalization option.
For more information, see the
commmeasure.EVM help page.

Error Rate Test Console

Communications Toolbox contains a command-line approach for simulating error rate in a communications system. The error rate test console runs simulation on a user-defined communications system to obtain error rate analysis.
If you also have a user license for the Parallel Computing Toolbox software, the error rate test console reduces simulation time by automatically distributing the work load among the number of available processors.
For more information, see the Simulations Using the Error Rate Test Console in the Comm unications Toolbox Getting Started Guide,orErrorRateTestConsoleinthe Communications Toolbox User’s Guide.
commtest.ErrorRate help page, Running

Channel Objects Support Parallel Computing Toolbox

rayleighchan, ricianchan,andmimochan now support the Parallel
Computing Toolbox™ software. Using the default MATLAB random stream algorithm, channel objects can generate independent channels on different workers. Since
rayleighchan, ricianchan,andmimochan can generate
9
Communications Toolbox™ Release Notes
independent channels on each worker, you can use the Parallel Computing Toolbox software to run simulations on multiple workers, reducing simulation time.
Compatibility Considerations
rayleighchan, ricianchan,andmimochan now use the default MATLAB
random stream. S oftware versions before the 2009b release use the V5 RANDN (Ziggurat) algorithm to generate channel path gains. The default random stream is more robust for use with Parallel Computing Toolbox software and can generate channel path gain values that are the statistical equivalent to the V5 RANDN (Ziggurat) algorithm.
rayleighchan, ricianchan,andmimochan do not support reset(h,s),where
h represents a channel and s represents the new channel state. To obtain the random number generation functionality before the 2009b release, including
reset(h,s) support, use legacychannelsim. You can not use channel objects
with Parallel Computing Toolbox software to run simulations in legacy mode.
10

New Demos

The following demos are ne w or updated for this release:
Two new demos show how to simulate 3GPP EGPRS2 and IEEE 802.11b
communications systems using the Error Rate Test Console. These demos can be run on m u l t ip le workers if you have a user license for the Parallel Computing Toolbox software.
The Raised Cosine demo n ow uses the filter design object
fdesign.pulseshaping.
Version 4.4 (R2009b) Communica tions Toolbox™ Software
Function or Function Element Name
seqgen.pn
rcosfir
rcosflt
rcosiir
rcosine
randint
Functions and Fu
What Happens When you use the Function or Element?
Warns
Still runs
Still runs
Still runs N\A
Still runs
Still runs
Use This Instead Compatibility
commsrc.pn
fdesign.pulseshaping
fdesign.
fdesign.pulseshaping
randi
nction Elements Being Removed
Considerations
Use commscrc.pn to create a PN sequence generator object.
.pulseshaping
ised cosine finite
lse re sponse filter
pulseshaping
Use fdes ign to design ra (FIR) im p u
Use fdes ign. pulseshaping to design a filter input signal using raised cosine filter. Does not support IIR.
Do not use.
Use fdes ign. pulseshaping to design a design a raised cosine filter. Does not support IIR.
Use Randi to generate matrix of uniformly distributed random integers
reset(h,s) for rayleighchan
reset(h,s) for ricianchan
reset(h,s) for mimochan
state parameter
for
awgn
Errors
Errors
Errors
Still runs
N\A Do not use. See
legacychannelsim
N\A Do not use. See
legacychannelsim
N\A Do not use. See
legacychannelsim
,whichisarandomstream
s
None.
handle
11
Communications Toolbox™ Release Notes
Function or Function Element Name
state parameter
for
wgn
state parameter
for
bsc
state parameter
for
randerr
state parameter
for
randsrc
What Happens When you use the Function or Element?
Still runs
Still runs
Still runs
Still runs
Use This Instead Compatibility
Considerations
s,whichisarandomstream
None.
handle
s,whichisarandomstream
None.
handle
s,whichisarandomstream
None.
handle
s,whichisarandomstream
None.
handle
12
Version 4.3 (R2009a) Communica tions Toolbox™ Software

Version 4.3 (R2009a) Communications Toolbox Software

This table summarizes what’s new in Version 4.3 (R2009a):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes Bug Reports
New features and changes introduced in this version are
“Bell-Shape Doppler Object” o n page 13
“Scatter Plot” on page 13
“EVM and MER Measurements” on page 14
“commsrc package now supports PN sequence generation” on page 14
“MIMO channel simulation support” on page 15
Fixed Bugs an d Known Problems
Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation

Bell-Shape Doppler Object

The doppler.bell function creates a bell-shape Doppler spectrum object. You can use this object for the the
rayleighchan function, ricianchan function, or the mimochan function.
For more information, refer to the
DoplerSpectrum property of a channel object for
doppler.bell help page.

Scatter Plot

Communications Toolbox supports the creation of a scatter plot Grap hical User Interface (GUI) that displays measurement and scatter plot results in the same figure. The scatter plot feature is part of the Users can create the scatter plot object in two ways: using a default object or by defining parameter-value pairs. To access the scatter plot feature, type
commscope.ScatterPlot at the MATLAB command line. For more
information, see the
commscope.ScatterPlot help page.
commscope package.
13
Communications Toolbox™ Release Notes
EVM and MER Measu
Communications Modulation Erro demodulator pe of the signal-t types of measu communicatio conforms to th EVM, Peak EVM
Users can cre defining pa measure for (%). To acce command li
The MER obj standard unit of me also in de command
, the unit of measure for MER is decibels (dB). For consistency, the
asure for Minimum MER and Percentile MER measurements is
cibels. To access this object, type
line. For more information, see the
commsrc genera
In orde sequen objec versi in a fu
tion
r to make all of the communications sources available together, t h e
ce generator functionality is now part of the t provides the same characteristics and behavior as in previous Toolbox ons. As a result, the
ture release.
Toolbox can perform Error Vector Magnitude (EVM) and
r Ratio (MER) measurements. EVM is a measurement of
rformance in the presence of impairments. MER is a measure
o-noise ratio (SNR) in a digital modulation application. These
rements are useful for determining system performance in
ns applications. For example, determining if an EDGE system
e 3GPP radio transmission standards requires accurate RMS,
, and 95th percentile for the EVM measurements.
ate an EVM object in two ways: using a default object or by
rameter-value pairs. As defined by the 3GPP standard, the unit of
RMS, Maximum, and Percentile EVM measurements is percentile ss the EVM object, type
ne. For more information, see the
ectispartofthe
package now supports PN sequence
rements
commmeasure.EVM at the M ATLAB
commmeasure.EVM help page.
commmeasure package. As defined by the DVB
commmeasure.MER at the MATLAB
commmeasure.MER help page.
commsrc package. This
seqgen.pn function is obsolete and will be removed
14
Compatibility Consideration
Note The MathWorks will remove the seqgen function from a future version
of the Communications Toolbox product. While the product still supports this function, you should use
commsrc.pn instead.
Version 4.3 (R2009a) Communica tions Toolbox™ Software
MIMO channel sim
The new MIMO chan simulations. Yo channels. For m
802.11b WLAN Ph
nel object supports multiple-input multiple output
u can specify correlated or uncorrelated fading between
ore information, see the
ysical Layer demo.
ulation support
mimochan help page or the IEEE
®
15
Communications Toolbox™ Release Notes

Version 4.2 (R2008b) Communications Toolbox Software

This table summarizes what’s new in Version 4.2 (R2008b):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No Bug Reports
New features and changes introduced in this version are
“Pattern Generator” on page 16
“EyeScope Compare Measurement Results View” on page 16
“New Demos” on page 16
Fixed Bugs an d Known Problems
Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation

Pattern Generator

Communications Toolbox software now includes Pattern Generator object. YoucanusethisobjecttogenerateNRZorRZsignalsandinjectjitter, which enables stress tests for high speed communications systems. For more information, refer to the
commsrc.pattern help page.

EyeScope Compare Measurement Results View

EyeScope now supports the ability to import multiple eye diagram objects. Additionally, EyeScope now contains a View menu,whichyoucanuseto compare m easurement results from multiple eye diagram objects.
16

New Demos

New d emos and demos containing updates for this release:
New
Multipath Fading Channel Modeling demo.
Version 4.2 (R2008b) Communica tions Toolbox™ Software
Updates to Eye Diagr am Measurements demo include use of pattern
generator, importing multiple eye diagram objects, and comparing measurement results.
17
Communications Toolbox™ Release Notes

Version 4.1 (R2008a) Communications Toolbox Software

This table summarizes what’s new in Version 4.1 (R2008a):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No Bug Reports
New features and changes introduced in this version are
“Cyclic Redundancy Checking (CRC)” on page 18
“Eye Diagram Measurements” on page 18
“EyeScope Functionality” on page 19
“New BCH and Reed Solomon Objects” on page 19
“New Demos” on page 20
Fixed Bugs an d Known Problems
Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation

Cyclic Redundancy Checking (CRC)

New CRC generator and detector objects have been added to the Communications Toolbox software.
18

Eye Diagram Measurements

Communications To olbo x product n ow provides eye diagram measurements, generated from the histogram data of eye diagram objects. This feature will be he lp fu l for sig nal integrity an alysis, a m aj or focus of backplane and optical communications development.
You can obtain the following measurements on an eye diagram:
Eye Crossing Times
Eye Crossing Amplitude
Eye Delay
Eye Level
Eye Amplitude
Eye Height
Eye Width
Vertical Eye O pening
Eye Crossing Percentage
Eye SNR
Quality Factor
Random Jitter
Deterministic Jitter
Total Jitter
RMS Jitter
Version 4.1 (R2008a) Communica tions Toolbox™ Software
Peak-to-Peak Jitter
Horizontal Eye Opening
EyeRiseTime
Eye Fall Time

EyeScope Functionality

EyeScope can be used to examine eye diagram results in a user-friendly, graphical environment. EyeScope shows both the eye diagram figure and measurement results in a unified GUI, providing a more efficient means for viewing results.

New BCH and Reed Solomon Objects

Communications Toolbox softw a re now contains BCH and Reed Solomon objects. These objects extend the capabilities of existing BCH and Reed Solomon functions by enabling punctures and erasure coding. Refer to the following reference pages for more information:
19
Communications Toolbox™ Release Notes
bchdec
bchenc
fec.rsdec
fec.rsenc

New Demos

New demos have been added for spatial multiplexing and Eye Diagram
Measurements
.
The
spatial multiplexing demo illustrates how to perform spatial
multiplexing
using Successive Interference Cancellation (SIC) detection
schemes.
The
Eye Diagram Measurements demo illustrates how to use the
commscope.eyediagram object to perform eye diagram measurements on simulated signals.
20
Version 4.0 (R2007b) Communica tions Toolbox™ Software

Version 4.0 (R2007b) Communications Toolbox Software

This table summarizes what’s new in Version 4.0 (R2007b):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No Bug Reports
New features and changes introduced in this version are
“Bi-Gaussian Doppler and Asy m m etrical Jakes Doppler Spectra Objects
Added” on page 21
“Channel Objects and Channel Visualization Tool Enhanced” on page 22
“ricianchan Object Enhanced” on page 22
“Demos Modeling Various Channels Added” on page 22
“Eye Diagram Object Added” on page 22
“Modem Objects Added” on page 22
“Theoretical BERs Added to BERTool and Enhanced in bercoding” on
page 22
Fixed Bugs an d Known Problems
Includes fixes.
Related Documentation at Web Site
Printable Release Notes: PDF
Current product documentation
“New stdchan Object” on page 23
“bchenc Enhanced” on page 23
Bi-Gaussian Doppler and Asymmetrical Jakes Doppler Spectra Objects Added
The doppler.bigaussian function creates a bivariate Gaussian Doppler spectrum object, which is used in the object.
DopplerSpectrum property of a channel
21
Communications Toolbox™ Release Notes
Channel Objects Enhanced
Channel objects different Dopp
ricianchan Ob
All paths now h path of a Rici
Each path can
See the
rici
Demos Mode
New demos m
These can typing
andemo_cost207
ch
Eye Diag
New eye d traver
iagram object is added, that uses color to convey how often a trace
ses a point.
and channel visualization tool are enhanced to support
ler spectra per path.
ject Enhanced
ave the option of being Rician-faded (previously only the first
an multipath fading channel could be Rician-faded).
be assigned different values for the
anchan
reference page for details.
ling Various Channels Added
odeling COST 207, GSM/EDGE, and HF are added.
be accessed through the demos pane of the Help browser, or by
ram Object Added
and Channel Visualization Tool
K and fdLOS parameters.
and chand emo_ hf at the command line.
22
Modem
New PA
Theo berc
retical BERs added to BERTool for hard-decision and soft-decision
Theo
oding with AWGN. Existing results in
dec
Objects Added
M, OQPSK, DPSK, MSK, and General QAM modem objects are added.
retical BERs Added to BERTool and Enhanced in
oding
bercoding aremademoreprecise.
Version 4.0 (R2007b) Communica tions Toolbox™ Software
New stdchan Obje
The new stdchan o channel models,
bchenc Enhanc
The bchenc fun
bject constructs channel objects according to standardized
including COST 207, GSM/EDGE, 3GPP, and ITU-R.
ed
ction now runs faster, especially for longer codeword lengths.
ct
23
Communications Toolbox™ Release Notes

Version 3.5 (R2007a) Communications Toolbox Software

This table summarizes what’s new in Version 3.5 (R2007a):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes Summary
New features and changes introduced in this version are
“Added Support for Different Doppler Spectra to Channel Objects” on
page 24
“Theoretical Results Refined for
page 25
“Various Enhancements Made to BERTool” on page 25
“New Demo on MIMO Systems Showcasing Space-Time Block Coding”
on page 26
“New PN Sequence Generator Object” on page 26
“New
“New
“New
“Enhanced Speed of
dvbs2ldpc Function” on page 26
finddelay Function” on page 26
alignsignals Function” on page 26
rsdec and bchdec Functions” on page 26
Fixed Bugs an d Known Problems
Bug Reports Includes fixes.
berawgn, berfading, and BERTool” on
Related Documentation at Web Site
No
24

Added Support for Different Doppler Spectra to Channel Objects

A package of Doppler classes is added. These classes are used to instantiate Doppler objects to be used with the Rayleigh and Rician channel objects:
doppler.flat
doppler.gaussian
doppler.jakes
Version 3.5 (R2007a) Communica tions Toolbox™ Software
doppler.rjakes
doppler.rounded
See individual reference pages for details.

Theoretical Results Refined for berawgn, berfading, and BERTool

Many of the previous theoretical results are now more accurate.
The functions in addition to the bit error rate.
Several new theoretical results have been added.
berawgn and berfading can now return the symbol e rror rate
Compatibility Considerations
The results fro m these functions may be different from those of previous releases as they are now more accurate.

Various Enhancements Made to BERTool

When performing Monte Carlo simulations using BERTool, the BER plot is now updated every time a new data point is calculated. This allows the user to see whether the calculation is on the righ t track, and possibly start usin g the results while the calculation is in progress.
Theoretical BER plots are now shown to be one of exact, approximate, lower bounds, or upper bounds.
Theoretical error control coding BER results for Hamming, Golay, and Reed Solomon codes are now available in the BERTool.
See “BERTool: A Bit Error Rate Analysis GUI” in the Communications Toolbox User’s Guide for details.
25
Communications Toolbox™ Release Notes
New Demo on MIMO S Space-Time Bloc
A new demo on MIMO space-time blo
showdemo('in
ck coding. You can open this demo by typing
troMIMOSystems')
New PN Sequenc
The object se linear-feed generator (S
qgen.pn
back shift register that is implemented using a simple shift register
SRG, or Fibonacci). See reference page for details.
New dvbs2ld
on
The functi from the DV
New findd
The funct
New alig
The func
dvbs2ldpc returns the parity-check matrix of an LDPC code
B-S.2 standard.
elay
ion
finddelay estimates delays between signals.
nsignals
tion
alignsignals aligns two signals by delaying the earlier signal.
k Coding
systems is added, illustrating orthogonal
e Generator Object
produces a pseudorandom noise sequence using a
Function
pc
Function
Function
ystems Showcasing
at the command line.
26
Enhanc
The fu
nctions
ed Speed of
rsdec an d bchdec are enhanced to run significantly faster.
rsdec and bchdec Function s
Version 3.4 (R2006b) Communica tions Toolbox™ Software

Version 3.4 (R2006b) Communications Toolbox Software

This table summarizes what’s new in Version 3.4 (R2006b):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes Summary
New features and changes introduced in this version are
Fixed Bugs an d Known Problems
Bug Reports No
Related Documentation at Web Site

Theoretical BER Results Added

Theoretical error control coding BER results for Hamming, Golay, and Reed Solomon codes are now available in the function
bercoding.

Bitwise Soft-Decision Outputs for PSK and QAM Demodulators

Bitwise soft-decision outputs are enabled for the PSK and QAM demodulation through the use of new PSK and QAM modem objects. See “Object-Based PSK and QAM Modulation and Demodulation” on page 28.

Added LDPC Encoder and Decoder Objects

The objects fec.ldpcenc and fec.ldpcdec respectively encode and decode LDPC codes.

Line-of-Sight Doppler Shift Added to Rician Channel

The property DirectPathDopplerShift, which specifies the maximum Doppler shift of the line-of-sight path, is added to the Rician channel object.
27
Communications Toolbox™ Release Notes
Object-Based PS
K and QAM Modulation and
Demodulation
PSK and QAM modul classes
modem.
pskmod
Compatibility Considerations
See “Using Mod
QAM and PSK Mo Functions O
ns
The functio may be remov
Compatibility Considerations
Use the ne instead. on page 28.
pskmod, pskdemod, qammod,andqamdemod are obsolete and
ed in the future.
w object based PSK and QAM modulation and demodulation objects
See “Object-Based PSK and QAM Modulation and Demodulation”
ation and demodulation is now done using the new , modem.pskdemod, modem.qammod,andmodem.qamdemod.
em Objects” and individual reference pages for details.
dulation and Demodulation
bsoleted
28
Version 3.3 (R2006a) Communica tions Toolbox™ Software

Version 3.3 (R2006a) Communications Toolbox Software

This table summarizes what’s new in Version 3.3 (R2006a):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No Bug Reports
New features and changes introduced in this version are
Fixed Bugs an d Known Problems
Includes fixes.
Related Documentation at Web Site
No

convenc and vitdec Updated with Puncturing and Erasing

The function convenc is updated with puncturing capabilities. The function
vitdec now decodes codewords with punctures and erasures. Note that their
function syntax have also changed.

Enhanced pamdemod, pskdemod, and qamdemod Functions

The pamdemod, pskdemod,andqamdemod functions are enhanced to run significantly faster.
29
Communications Toolbox™ Release Notes

Version 3.2 (R14SP3) Communications Toolbox Software

This table summarizes what’s new in Version 3.2 (R14SP3):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No Bug Reports No
New features and changes introduced in this version are
Fixed Bugs an d Known Problems
Related Documentation at Web Site

Added function bchnumerr

bchnumerr returns all the possible combinations of message lengths and
number of correctable errors for a BCH code of given length.

Speed increase in bchgenpoly, bchenc, and bchdec functions

bchgenpoly, bchenc,andbc hdec function have been enhanced to run more
rapidly.
30
Version 3.1 (R14SP2Communications Toolbox™ Software

Version 3.1 (R14SP2Comm unications Toolbox Software

This table summarizes what’s new in Version 3.1 (R14SP2):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes—Details labeled as Compatibility Considerations, below. See also Summary.
New features and changes introduced in this version are
Fixed Bugs an d Known Problems
Bug Reports Includes fixes.
Related Documentation at Web Site
No

Channel Visualization Tool

A new channel visualization tool allows you to plot various channel characteristics.

Improved Rayleigh Fading Channel

Increased the signal proces sing speed of the Rayleigh Fading channel,
rayleighchan, by up to a factor of two.

Gray Coding Functionality

Added the functions b in2g ray and gray2bin to convert between Gray de coded and encoded integers.
Added Gray symbol ordering to the functions
qammod, fskmod, pskdemod, pamdemod, dpskdemod, qamdemod,andfskdemod.
pskmod, pammod, dpskmod,

Rician Channel Enhancement to the BERTool

The bertool now has theoretical BER results for a Rician channel.
31
Communications Toolbox™ Release Notes

gfrank

Compatibility Considerations
The function gfrank now returns 0,insteadof[], on a zero matrix input.

encode, decode, and quantiz

Compatibility Considerations
The outputs of the encod e, decode,andquantiz functions now match the input vector’s orientation.
32
Version 3.0.1 (R14SP1) Com munications Toolbox™ So ftware

Version 3.0.1 (R14SP1) Communications Toolbox Software

This table summarizes what’s new in Version 3.0.1 (R14SP1):
New Features and Changes
Yes Details below
Version Compatibility Considerations
No
New features and changes introduced in this version are
Fixed Bugs an d Known Problems
Fixed bugs
Related Documentation at Web Site
No

Rician Channel BER Calculations

The BERTool is enhanced to allow for Rician channel BER calculations. For details, see Available Sets of Theoretical BER Data in the Communications Toolbox documentation.

berfading Updated for Rician Channel

berfading is enhanced to return the BER of BP SK over uncoded flat Rician
fading channels. For details, see the Communications Toolbox documentation for
berfading.

New Adaptive Equalization Demo

A new demo illustrates adaptive equalization using Embedded MATLAB. To open the demo, type
equalizer_eml at the M ATLAB command line.
33
Communications Toolbox™ Release Notes

Version 3.0 (R14) Communications Toolbox Software

This table summarizes what’s new in Version 3.0 (R14):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes—Details labeled as Compatibility Considerations, below. See also Summary.
New features and changes introduced in this version are
“Bit Error Rate An alysis GUI” on page 35
“Performance Evaluation” on page 35
“Equalizers” on page 35
“Fading Channels and Binary Symmetric Channel” on page 36
“Interleavers” on page 37
“Huffman Coding” on page 38
“Pulse Shaping” on page 38
“Utility Functions” on page 38
“Enhanceme nts for Modulation” on page 39
Fixed Bugs an d Known Problems
Fixed bugs
Related Documentation at Web Site
No
34
“Enhanceme nts for BCH Coding” on page 40
“Updating Existing Modulation MATLAB Code” on page 41
“Updating Existing BCH MATLAB Code” on page 41
“Changes in Functionality” on page 43
“Obsolete Functions” on page 43
Version 3.0 (R14) Communications Toolbox™ Software
Bit Error Rate A n
Communications BERTool that hel performance. T
bertool
in the MATLAB C
Performance
The functio error rate p
Function
berawgn
bercoding
berconf
berfad
berfi
bersync
distspec
semianalytic
int
ing
t
Toolbox has a graphical user interface (GUI) called ps you analyze communication systems’ bit error rate (BER)
oinvoketheGUI,type
ommand Window.
Evaluation
ns in the table below enable you to measure or visualize the bit
erformance of a communication system.
alysis GUI
Purpose
Error probability for uncoded AWGN channels
Error probability for coded AWGN channels
BER and c simulat
Error p
Fit a curve to nonsmooth empirical BER data
Bit error rate f or imperfect synchronization
Compute the distance spectrum of a convolutional code
Calculatebiterrorrateusingthesemianalytic technique
onfidence interval of Monte Carlo
ion
robability for Rayleigh fading channels

Equalizers

The functions in the table below enable you to equalize a signal using a linear equalizer, a decision feedback equalizer, or a maximum-likelihood sequence estimation equalizer based on the Viterbi algorithm.
35
Communications Toolbox™ Release Notes
Function
cma
dfe
equalize
lineareq
lms
mlseeq
normlms
rls
signlms
varlms
Purpose
Construct a constant modulus algorithm (CMA) object
Construct a decision feedback equalizer object
Equalize a signal using an equalizer object
Construct a linear equalizer object
Construct a least mean square (LMS) adaptive algorithm object
Equalize a linearly modulated signal using the Viterbi algorithm
Construct a normalized least mean square (LMS) adaptive algorithm object
Construct a recursive least squares (RLS) adaptive algorithm object
Construct a signed least mean square (LMS) adaptive algorithm object
Construct a variable step size least mean square (LMS) adaptive algorithm object
36

Fading Channels and Binary Symmetric Channel

The functions in the tables below enable you to model a Rayleigh fading channel, Rician fading channel, and binary symmetric channel.
Function
bsc
filter (for channel objects)
rayleighchan
reset
ricianchan
Purpose
Model a binary symmetric channel
Filter sig nal w i th channel object
Construct a Rayleigh fading channel object
Reset channel object
Construct a Rician fading channel object

Interleavers

The functions in and convolution
Version 3.0 (R14) Communications Toolbox™ Software
the tables below enable you to perform block interleaving
al interleaving, respectively.
Block Interlea
Function
algdeintrlv
ving
Purpose
Restore ordering of symbols, using algebraically derived permutation table
algintrlv
Reorder symbols, using algebraically derived permutation table
deintrlv
helscandeintrlv
helscanintrlv
intrlv
matdei
ntrlv
Restore ordering of symbols
Restore ordering of symbols in a helical pattern
Reorder
Reorder
Restor column
trlv
matin
Reord empty
deintrlv
rand
Rest perm
dintrlv
ran
Reorder symbols, using a random permutation

Convolutional Interleaving

symbols in a helical pattern
sequence of symbols
e ordering of symbols by filling a matrix by
s and emptying it by rows
er symbols by filling a matrix by rows and
ingitbycolumns
ore ordering of symbols, using a random
utation
nction
Fu
onvdeintrlv
c
onvintrlv
c
heldeintrlv
helintrlv
rpose
Pu
estore ordering of sy mbo ls, using shift registers
R
ermute symbols, using shift registers
P
Restore ordering of symbols permuted using
helintrlv
Permute symbols , using a helical array
37
Communications Toolbox™ Release Notes
Convolutional Interleaving (Continued)
Function
muxdeintrlv
muxintrlv
Purpose
Restore ordering of symbols, using specified shift registers
Permute symbols, u sin g shift registers with specified delays

Huffman Coding

The functions in the table below enable you to perform Huffman coding.
Function
huffmandeco
huffmandict
huffmanenco
Purpose
Huffman decoder
Generate Huffman code dictionary for a source with known probability model
Huffman encoder

Pulse Shaping

The functions in the table below enable you to perform rectangular pulse shaping at a transmitter and matched filtering at the corresponding receiver.
38
Function
intdump
rectpulse
These functions can be useful in conjunction with the modulation functions listed below.
Purpose
Integrate and dump
Rectangular pulse shaping

Utility Functions

The toolbox now includes the following utility functions, details of which are on the corresponding reference pages.
Version 3.0 (R14) Communications Toolbox™ Software
Function
noisebw
qfunc
qfuncinv
Purpose
Equivalent noise bandwidth of a filter
Q function
Inverse Q function

Enhancements for Modulation

The functions in the tables below enable you to perform modulation and demodulation using analog and digital methods. Some of the functions support modulation types that Communications Toolbox d id not previously support (DPSK and OQPSK). Other functions enhance and replace the older modulation and demodulation functions in Communications Toolbox. The new modulation and demodulation functions are designed to be easier to use than the older ones. Note, however, that the current set of modulation functions supports only analog passband and digital baseband modulation.

Analog Passband Modulation

Function
amdemod
ammod
fmdemod
fmmod
pmdemod
pmmod
ssbdemod
ssbmod
Purpose
Amplitude demodulation
Amplitude modulation
Frequency demodulation
Frequency modulation
Phase demodulation
Phase modulation
Single sideband amplitude demodulation
Single sideband amplitude modulation

Digital Baseband Modulation

Function
dpskdemod
dpskmod
Purpose
Differential phase shift keying demodulation
Differential phase shift keying modulation
39
Communications Toolbox™ Release Notes
Digital Baseband Modulation (Continued)
Function
fskdemod
fskmod
genqamdemod
genqammod
modnorm
oqpskdemod
oqpskmod
pamdemod
pammod
pskdemod
pskmod
qamdemod
qammod
Purpose
Frequency s hift keying demodulation
Frequency shift keying modulation
General quadrature amplitude demodulation
General quadrature amplitude modulation
Scaling factor for normalizing modulation output
Offset quadrature phase shift keying demodulation
Offset quadrature phase shift keying modulation
Pulse amplitude demodulation
Pulse amplitude modulation
Phase shift keying demodulation
Phase shift keying modulation
Quadrature amplitude demodulation
Quadrature amplitude modulation

Enhancements for BCH Coding

The functions in the table below enable you to encode and decode BCH codes. These functions enhance and replace the older BCH coding functions in Communications Toolbox.
40
Function
bchdec
bchenc
bchgenpoly
Purpose
BCH decoder
BCH encoder
Generator polynomial of BCH code
When processing codes using these functions, you can control the primitive polynomial used to describe the Galois field containing the code symbols and the position of the parity symbols.
Version 3.0 (R14) Communications Toolbox™ Software
Updating Existi
ng Modulation MATLAB Code
Compatibility Considerations
If your existin you might want capabilities
The toolbox no
However, it s is usually pr
The toolbox
However, it
The new suit
modulatio number of f
The new mo
shaping w Also, the the modu
rectpul
In most c
descri sets of update docume outpu
g MATLAB code performs modulation or demodulation, then
to update it to use the enhanced modulation or demodulation
. H ere are some important points to keep in mind:
longer supports digital passband modulation/demodulation.
upports digital baseband modulation/demodulation, which
eferable.
no longer supports analog baseband modulation/demodulation. supports analog passband modulation/demodulation.
e of functions includes a different function for each supported
n type, whe reas the old suite of functions included a smaller
unctions that each supported many modulation types.
dulation/demodulation functions do not apply rectangular pulse
hen modulating, and do not downsample when demodulating. new functions’ syntax does not involve lator input. To imitate the old functions’ behavior, see the new
se
and intdump functions.
ases, the new f unctions use different kinds of input argume nts to
be param eters of the modulation or demodulation scheme. T he new
argumentsaremeanttobeeasiertouse,butdetermininghowto
code might not be obvious. To make the task easier, compare the ntation for the old and new functions and compare the functions’
ts for small or w ell-understoo d data sets.
Fd, the sampling rate of
Updat
ingExistingBCHMATLABCode
Compatibility Considerations
ur existing MATLAB code processes BCH codes, then you might want
If yo
pdate it to use the enhanced BCH capabilities. Here are some important
to u
nts to keep in mind:
poi
Use
Us
bchenc instead of bchenco and encode(...,'bch').
e
bchdec instead of bchdeco and decode(...,'bch').
41
Communications Toolbox™ Release Notes
Use bchgenpoly instead of bchpoly.
bchenc and bchdec use Galois arrays for the messages and codewords.
To learn more about Galois arrays, see “Representing Ele m en t s of Galois Fields” in the Communications Toolbox User’s Guide.
bchenc places (and bchdec expects to find) the parity symbols at the end of
each w ord by default. To process codes in which the parity symbols are at the beginning of each word, use the string argument when you invoke
Converting Between Release 13 and Release 14 Represen tations of Code Data. To help you update your existing MATLAB code that processes
BCH codes, the example below illustrates how to encode data using the new
bchenc function and the earlier encode and bchenco functions.
% Basic parameters for co ding n = 15; k = 11; % Message len gth and codeword length w = 10; % Number of words to encode in this example
% R13 binary vector format mydata_r13 = randint(w*k,1); % Long v ecto r % R13 binary matrix format mydata_r13_mat = reshape(mydata_r13,k,w)'; % One message per row % R13 decimal format mydata_r13_dec = bi2de(mydata_r13_mat); % Convert to decimal .
'beginning' as the last input
bchenc and bchdec.
42
% Equivalent R14 Galois ar ray format mydata_r14 = fliplr(gf(mydata_r13_mat));
% Encode the data using R13 methods. code_r13 = encode(mydata_r13,n,k,'bch'); code_r13_mat = encode(mydata_r13_mat,n,k,'bch'); code_r13_dec = encode(mydata_r13_dec,n,k,'bch/decimal'); code_r13_bchenco = bchenco(mydata_r13_mat,n,k);
% Encode the data using R14 method. code_r14 = bchenc(mydata_r14,n,k); codeX = fliplr(double(code_r14.x)); % Retrieve from Galois array .
% Check that all resulting codes are the same.
Version 3.0 (R14) Communications Toolbox™ Software
% c1, c2, c3, and c4 should all be true. c1 = isequal(de2bi(code_r13_dec),code_r13_mat); c2 = isequal(reshape(code_r13,n,w)',code_r13_mat); c3 = isequal(code_r13_bchenco,code_r13_mat); c4 = isequal(code_r13_mat,codeX); % Compare R13 with R14.

Changes in Functionality

Compatibility Considerations
The encode and decode functions no longer perform BCH encoding and decoding. Use the
bchenc and bchdec functions instead.

Obsolete Functions

Compatibility Considerations
The table below lists functions that are obsolete. Although they are included in Release 13 for backward compatibility, they might be removed in a future release. The second c olum n lists functions that provide similar functionality. In some cases, the similar function requires different input arguments or produces different output arguments, compared to the original function.
Obsolete Function Similar Function in R1 4
ademod amdemod, fmdemod, pmdemod,
ssbdemod
ademodce
amod ammod, fmmod, pmmod, ssbmod
amodce
apkconst
bchdeco bchdec
bchenco bchenc
Use passband demodulation instead:
amdemod, fmdemod, pmdemod, ssbdemod
Use passband modulation instead :
ammod, fmmod, pmmod, ssbmod
genqammod scatterplot for plotting
or pskmod for mapping;
43
Communications Toolbox™ Release Notes
Obsolete Function Similar Function in R1 4
bchpoly bchgenpoly
ddemod
ddemodce genqamdemod, pamdemod, pskdemod,
demodmap genqamdemod, pamdemod, pskdemod,
dmod
dmodce genqammod, pammod, pskmod, qammod,
modmap genqammod, pammod, pskmod, qammod
qaskdeco qamdemod
qaskenco
Use baseband demodulation instead:
genqamdemod, pamdemod, pskdemod, qamdemod, fskdemod
qamdemod, fskdemod
qamdemod
Use baseband modulation instead:
genqammod, pammod, pskmod, qammod, fskmod
fskmod
for mapping; scatterplot for plotting
qammod
for mapping; scatterplot
for plotting
44
Version 2.1 (R13) Communications Toolbox™ Software

Version 2.1 (R13) Communications Toolbox Software

This table summarizes what’s new in Version 2.1 (R13):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes—Details labeled as Compatibility Considerations, below. See also Summary.
New features and changes introduced in this version are
“Galois Field Computations” on page 45
“Enhancements for Reed-Solomon Codes” on page 46
“Arithmetic Coding” on page 46
“Fixed Bugs” on page 46
“Known Problems” on page 47
“Updating Existing Galois Field Code” on page 47
“Updating Existing Reed-Solomon MATLAB Code” on page 53
“Changes in Functionality” on page 55
“Obsolete Functions” on page 56
Fixed Bugs an d Known Problems
Fixed bugs and known problems
Related Documentation at Web Site
No

Galois Field Computations

Communications Toolbox supports a new data type that allows you to manipulate arrays of elements of a Galois field having 2 m is an integer between 1 and 16. When you use this data ty pe, mo st computations have the same syntax that you would use to manipulate ordinary MATLAB arrays of real numbers. The consistency with MATLAB syntax makes the new G alois field capabilities easier to use than the analogous Release 12 capabilities.
m
elements, where
45
Communications Toolbox™ Release Notes

Enhancements for Reed-Solomon Codes

The functions in the table below allow you to encode and decode Reed-Solomon codes, including shortened Reed-Solom on codes. These functions enhance and replace the older Reed-Solomo n coding functions in Communications Toolbox.
Function Purpose
rsdec
rsenc
rsgenpoly
When processing codes using the se functions, you can control the generator polynomial, the primitive polynomial used to describe the Galois field containing the code symbols, and the position of the parity symbols.
Reed-Solomon decoder
Reed-Solomon encoder
Generator polynomial of Reed-Solomon code
46

Arithmetic Coding

The functions in the table below allow you to perform arithmetic coding.
Function Purpose
arithdeco
arithenco
Decode binary code using arithmetic decoding
Encode a sequence of symbols using arithmetic coding

Fixed Bugs

Reed-Solomon decoder corrects up to t errors
The new function rsdec accurately decodes Reed-Solomon codes containing up to
t errors in each codeword. This new function replaces the earlier functions
rsdeco and rsdecode.
Version 2.1 (R13) Communications Toolbox™ Software
Reed-Solomon encoder and decoder use more conventional format for data
The new functions rsenc and rsdec operate on the new Galois data type, which represents symbols using a decimal fo r m at.
The new functions enable you to choose whether parity bits appear at the beginning or end of each codeword.

Known Problems

Galois field manipulations canno t be compiled
The Galois field data type is not compatible with the MATLAB Compiler.
Incorrect name of data file in printed documentation
The section "Speed and Nondefault Primitive Polynomials" in the printed manual refers to a MAT-file called
userGftable.mat.
gftable.mat. It should say

Updating Existing Galois Field Code

Compatibility Considerations
If your existing code performs computations in Galois fields having 2 elements, where m is an integer between 1 and 16, then you might want to update your code to use the new Galois field capabilities.
Replacing Functions. The table below lists Release 12 functio ns that correspond to Release 13 functions or operators acting on the new Galois field data type. Compared to the syntax of their Release 12 counterparts, the syntaxes of the Release 13 functions are different, but generally easier to use.
Release 13 Function
Release 12 Function
gfadd +
gfconv conv
or Operator Comments
m
47
Communications Toolbox™ Release Notes
Release 12 Function
gfcosets cosets cosets returns a
gfdeconv deconv
gfdiv ./
gffilter filter
gflineq \
gfplus +
gfprimck isprimitive
gfprimdf primpoly
gfprimfd primpoly
gfrank rank
gfroots roots
gfsub -
gftuple .^, log, polyval
Release 13 Function or Operator Comments
cell array, whereas
gfcosets returns a
NaN-padded matrix.
Unlike gffilt er,
filter also returns the
final states.
isprimitive
primitivity but not reducibility.
Unlike gfroots , roots indicates multiplicities of roots and can process polynomials in an extension field
See “Converting and Simplifying Formats Using R 13 Galois Arrays” on page 51 for more details.
detects
48
Version 2.1 (R13) Communications Toolbox™ Software
Converting Between Release 1 2 and Release 13 Representations of Field Elements. In some parts of your existing code, you might need to
convert data between the exponential format supported in Release 12 and the new Galois array. The code example below performs such conversions on a sample vector that represents elements of GF(16).
% Sample data m = 4; % For example, work in GF(2^4) = GF(16). a_r12 = [2 5 0 -Inf]; % GF(16) elements in exponential format
% 1. Convert to the Release 13 Galois array. A = gf(2,m); % Primitive element of the field a_r13 = A.^(a_r12); % Posi tiv e exponents mean A to that power. a_r13(find(a_r12 < 0)) = 0; % Negative exponents mean zero.
% 2. Convert back to the Release 12 exponential format. m = a_r13.m; A = gf(2,m); a_r12again = zeros(size(a_r13)); % Preallocate space in a matrix. zerolocations = find(a_r13 == 0); nonzerolocations = find(a_r13 ~= 0); a_r12again(zerolocations) = -Inf; % M ap 0 to negative exponent. a_r12again(nonzerolocations) = log(a_r13(nonzerolocations));
% Check that the two conversions are inverses. ck = isequal(a_r12,a_r12again)
ck =
1
Converting Between Release 1 2 and Release 13 Representations of Polynomials. Release 12 and Release 13 use different formats for
representing polynomials over GF(2
m
). Release 12 represents a polynomial as a vector of coefficients in order of ascending powers. Depending on the context, each coefficient listed in the vector represents either an element in a prime field or the exponential format of an element in an extension field. Release 13 uses the conventions described below.
49
Communications Toolbox™ Release Notes
Primitive Polynomials
The functions gf, isprimitive,andprimpoly represent a primitive polynomial using an integer scalar whose binary representation lists the coefficients of the polynomial. The least significant bit is the constant term.
For example, the scalar 13 has binary representation 1101 and represents the polynomial D
3
+D2+1.
Other Polynomials
When performing arithmetic with, e valuating, or finding roots of a polynomial, or when finding a minimal polynomial of a field element, you represent the polynomial using a Galois vector of coefficients in order of descending powers. Each coefficient listed in the vector represents an element in the field using the representation described in “How Integers Correspond to Galois F ield Elements”.
For example, the Galois vector
3+x2
x x GF(2
+ 1. Also, the Galois vector gf([1 2 3],3) represents the polynomial
2
+ Ax + (A+1), where A is a root of the default primitive polynomial for
3
). The coefficient of A+1 corresponds to the vector entry of 3 because
the binary representation of 3 is 11.
Example Showing Conversions
The code example below might help you determine how to convert between the Release 12 and Release 13 formats for polynomials.
gf([1 1 0 1],1) represents the polynomial
50
m = 3; % Work in GF(8).
poly_r12 = [1 1 0 1]; % 1+x+x^3, ascending order poly_r13 = gf([1 0 1 1],m); % x^3+x+1 in GF(8), descending order
% R12 polynomials pp_r12 = gfprimdf(m); % A primitive polynomial mp_r12 = gfminpol(4,m); % The minimal polynomial of an element rts_r12 = gfroots(poly_r12); % Find r oots .
Version 2.1 (R13) Communications Toolbox™ Software
% R13 polynomials pp_r13 = primpoly(m,'nodisplay'); % A primitive polynomial mp_r13 = minpol(gf(4,m)); % The minim al polynomial of an element rts_r13 = roots(poly_r13); % Find roo ts.
% R12 polynomials converted to R13 formats % For primitive poly, chan ge binary vector to decimal scalar. pp_r12_conv = bi2de(pp_r12); % For minimal poly, change ordering and make it a Galois array. mp_r12_conv = gf(fliplr(mp_r12)); % For roots of polynomial, note that R12 answers are in % exponential format. Conv ert to Galois array format. rts_r12_conv = gf(2,m) .^ rts_r12;
% Check that R12 and R13 yield the same answers. c1 = isequal(pp_r13,pp_r12_conv); % True. c2 = isequal(mp_r13,mp_r12_conv); % True. c3 = isequal(rts_r13,rts_r12_conv); % True.
Converting and Simplifying Formats Using R13 Galois Arrays. If your existing code uses
gftuple to convert between e xponential and polynomial
formats, or to simplify one of these formats, then the code example below might help you determine how to perform those tasks using the Release 13 Galois array.
% First define key characteristics of the field. m = 4; % For example, work in GF(2^4) = GF(16). A = gf(2,m); % Primitive element of the field
% 1. Simplifying a Polynom ial Format poly_big = 2^10 + 2^7; % Want to refer to the element A^10 + A^7. However, % cannot use gf(poly_big,m ) because poly_big is too large. poly1 = A.^10 + A.^7 % One way to define the element. poly2 = polyval(de2bi(poly_big,'left-msb'),A); % Another way. % The results show that A^10 + A^7 equals A^3 + A^2 in this % field, using the binary representation of 12 as 1100.
% 2. Simplifying an Expone nti al Format
51
Communications Toolbox™ Release Notes
exp_big = 39; exp_simple = log(A.^exp_big) % Simplest exponential format. % The results show that A^39 equals A^9 in this field.
% 3. Converting from Expon ent ial to Polynomial Format expf1 = 7; pf1 = A.^expf1 % The results show that A^7 equals A^3 + A + 1 in this % field, using the binary representation of 11 as 1011.
% 4. Converting from Polyn omi al to Exponential Format pf2 = 11; % Represents the element A^3 + A + 1 expf2 = log(gf(pf2,m)) % The results show that A^3 + A + 1 equals A^7 in this field.
The output is below.
poly1 = GF(2^4) array. Pr imit ive polynomial = D^4+D+1 (19 decimal)
52
Array elements =
12
exp_simple =
9
pf1 = GF(2^4) array. Primitive polynomial = D^4+D+1 (19 decimal)
Array elements =
11
expf2 =
7
Version 2.1 (R13) Communications Toolbox™ Software
Updating Existi
ng Reed-Solomon MATLAB Code
Compatibility Considerations
If your existin want to update some importan
Use
Use
Use
rsenc inst
rsdec ins
rsgenpo
rsenc and rs
learn more a Fields”.
rsenc and r
Release 12 Release 1 Release 1
The Rele
exponen convert upgrade Releas
g MATLAB code proces ses Reed-Solomon codes, then you might
it to use the enhanced Reed-Solomon capabilities. Below are
t points to keep in mind:
ead of
rsenco, rsencode,andencode(...,'rs').
tead of
ly
dec
rsdeco, rsdecode,anddecode(...,'rs').
instead of rspoly.
use Galois arrays for the messages and codewords. To
bout Galois arrays, see “Representing Elements of Galois
sdec
interpret symbols in a different way compared to the
functions. For an example sh owing how to convert between 2 and Release 13 interpretations, see “Converting Between 2 and Release 13 Representations of Code Data” on page 54.
ase 12 functions support three different data formats. The
tial format is most easily converted to the Release 13 format. To
your data among the various Release12formatsasyouprepareto
to the new Release 13 functions, see “Converting Among Various
e 12 Representations of Coding Data” on page 55.
rsenc,
repres indic to the
rse
eac the ar
rsdec,andrsgen poly use a Galois array in descending order to
ent the generator polynom ial argument. The commands below
ate ho w to conv ert generator polynomials from the Release 12 format
Release 13 format.
n = 7; k = 3; % E xamples of code parameters m = log2(n+1); % Number of bits in each symbol gp_r12 = rspoly(n,k); % R1 2 exponential format, ascending order gp_r13 = gf(2,m).^fliplr(gp_r12); % Convert to R13 format.
nc
places (and rsdec expects to find) the parity symbols at the end of
h w ord by default. To process codes in which the parity symbols are at
beginning of each word, use the string
gument when you invoke
rsenc and rsdec.
'beginning' as the last input
53
Communications Toolbox™ Release Notes
Converting Between Release 1 2 and Release 13 Representations of Code Data. To help yo u update your existing M -code that processes
Reed-Solomon codes, the example below illustrates how to encode data using the new
rsenc function and the earlier rsenco function.
% Basic parameters for co ding m = 4; % Number of bits per s ymbo l in each codeword t = 2; % Error-correction capability n = 2^m-1; k = n-2*t; % Message length and codeword length w = 10; % Number of words to encode in this example
% Lookup tables to transla te formats between rsenco and rsenc p2i = [0 gf(2,m).^[0:2^m-2 ]]; % Galois vector listing powers i2p = [-1 log(gf(1:2^m-1,m ))]; % Integer vector listing logs
% R12 method, exponential format % Exponential format uses integers between -1 and 2^m-2. mydata_r12 = randint(w,k,2^m)-1; code_r12 = rsenco(mydata_r12,n,k,'power'); % * Encode the data. * % Convert any -Inf values to -1 to facilitate comparisons. code_r12(isinf(code_r12)) = -1; code_r12 = reshape(code_r12,n,w)'; % One codeword per row
54
% R12 method, decimal format % This yields same results as R12 exponential format. mydata_r12_dec = mydata_r12 + 1; % Convert to decimal. code_r12_dec = rsenco(mydata_r12_dec,n,k,'decimal'); % Encode. code_r12_dectoexp = code_r12_dec - 1; % Convert to exponential. c1 = isequal(code_r12,code_r12_dectoexp); % True.
% R12 method, binary format % This yields same results as R12 exponential format. mydata_r12_bin = de2bi(mydata_r12_dec',m); % Convert to bina ry. code_r12_bin = rsenco(mydata_r12_bin,n,k,'binary'); % Encode. code_r12_bintoexp = reshape(bi2de(code_r12_bin),n,w)' - 1; c2 = isequal(code_r12,code_r12_bintoexp); % True.
% R13 method mydata_r13 = fliplr(mydata_r12); % Reverse the order. % Convert format, using +2 to get in the right range fo r indexing.
Version 2.1 (R13) Communications Toolbox™ Software
mydata_r13 = p2i(mydata_r13+2); code_r13 = rsenc(mydata_r13,n,k); % * Encode the data. * codeX = double(code_r13.x); % Retrieve data from Galois array. % Convert format, using +1 to get in the right range fo r indexing. codelogX = i2p(codeX+1); codelogX = fliplr(codelogX); % Reverse the order again.
c3 = isequal(code_r12,codelogX) % True.
c3 =
1
Converting Among Various Release 12 Representations of Coding Data. These rules indicate how to convert among the exponential, decimal,
and binary formats that the Release 12 Reed-Solomon functions support:
To convert from decimal format to exponential format, subtract one.
To convert from exponential format to decimal format, replace any negative
values by -1 and then add one.
To convert between decimal and binary formats, use
de2bi an d bi2de.The
right-most bit is the most significant bit in this context.
The commands below illustrate these conversions.
msgbin = randint(11,4); % Message fo r a (15,11) = (2^4-1, 11) code msgdec = bi2de(msgbin)'; % Binary to decimal msgexp = msgdec - 1; % Decimal to exponential codeexp = rsenco(msgexp,15,11,'power'); codeexp(find(codeexp < 0)) = -1; % Use -1 consistently. codedec = codeexp + 1; % Exponential to decimal codebin = de2bi(codedec); % Decimal t o binary

Changes in Functionality

Compatibility Considerations
The table below lists functions whose behavior has changed.
55
Communications Toolbox™ Release Notes
Function Change in Functionality
wgn

Obsolete Functions

Compatibility Considerations
The table below lists functions that are obsolete. Although they are included in Release 13 for backward compatibility, they might be removed in a future release. The second c olum n lists functions that provide similar functionality. In some cases, the similar function requires different input arguments or produces different output arguments, compared to the original function.
The default measurement unit is the dBW, formerly documented as "dB." To specify this unit explicitly in the syntax, set the argument to
powertype input
'dBW',not'dB'.The
output of the function is unaffected by this change in syntax.
56
Function Similar Function
gfplus
rsdeco rsdec
rsdecode rsdec
rsenco rsenc
rsencode rsenc
rspoly rsgenpoly
operator for Galois arrays
+
Version 2.0 (R12) Communications Toolbox™ Software

Version 2.0 (R12) Communications Toolbox Software

This table summarizes what’s new in Version 2.0 (R12):
New Features and Changes
Yes Details below
Version Compatibility Considerations
Yes—Details labeled as Compatibility Considerations, below. See also Summary.
New features and changes introduced in this version are
“Convolutional Coding Functions” on page 57
“Gaussian Noise Functions” on page 58
“Other New Functions” on page 58
“Enhancements to Existing Fun ctions” on page 58
“Fixed Bugs” on page 59
“Changes in Functionality” on page 62
“Obsolete Functions” on page 64
Fixed Bugs an d Known Problems
Fixed bugs
Related Documentation at Web Site
No

Convolutional Coding Functions

Communications Toolbox processes feedforward and feedback convolutional codes that can be described by a trellis structure or a set of generator polynomials. It uses the Viterbi algorithm to implement hard-decision and soft-decision decoding. These new functions support convolutional coding:
convenc creates a convolutional code from binary data.
vitdec decodes convolutionally encoded d ata using the Viterbi algorithm.
poly2trellis converts a polynomial description of a convolutional encoder
to a trellis description.
57
Communications Toolbox™ Release Notes
istrellis checks if the input is a valid trellis structure representing a
convolutional encoder.

Gaussian Noise Functions

These new functions create Gaussian noise:
awgn adds white Gaussian noise to the input signal to produce a specified
signal-to-noise ratio.
wgn generates white Gaussian noise with a specified power, impedance,
and complexity.

Other New Functions

These functions are also new in Release 12:
eyediagram plots an eye diagram.
marcumq implements the generalized Marcum Q function.
oct2dec converts octal numbers to decimal numbers.
58
randerr generates bit error patterns. This is similar to the obsolete
function
randbit, but it accepts a more intuitive set of input arguments
and uses an upgraded random number generator.
randsrc generates random matrices using a prescribed alphabet.
scatterplot produces a scatter plot.
syndtable generates syndrome decoding tables. This is similar to the
obsolete function
htruthtb, but it is not limited to single-error-correction
codes.

Enhancements to Existing Functions

The following functions have been enhanced in Release 12:
biterr and symerr provide a third output argument that indicates the
results of individual comparisons. These functions also provide more comprehensive support for comparisons between a vector and a matrix.
Version 2.0 (R12) Communications Toolbox™ Software
de2bi and bi2de use an optional input flag to indicate the ordering of bits.
If you omit the flag from the list of input arguments, then the default behavior matches that of Release 11.
randint can operate without input arguments. Also, it can accept a
negative value for the optional third input argument.

Fixed Bugs

VITERBIisslowanddoesnotdecodecorrectly
VITERBI has been replaced by a new function, VITDEC, which is much faster and decodes correctly.
DDEMOD and DDEMODCE do not produce correct symbol error rates
DDEMOD and DDEMODCE now produce the optimal symbol error rate in AWGN for PSK, ASK, QASK (QAM), FSK, and noncoherent FSK.
DMOD and DMODCE generate incorrect waveform for MSK and FSK
DMOD and DMODCE now generate the correct waveform for MSK and FSK.
GFADD, GFSUB, GFDIV, GFMUL, GFCONV and GFDECONV return incorrect answers
GFADD, GFSUB, GFDIV, GFMUL, GFCONV and GFDECONV have been improved in the following ways:
Correct answers for prime and extension Galois fields, including prime
fields,GF(p),wherep>2.
Correct handling of -Inf and negative values for extension Galois fields.
Enhanced help descriptions to better distinguish the purposes of the
functions.
Improved input parameter checking.
59
Communications Toolbox™ Release Notes
GFMINPOL returns incorrect answers when first input is -Inf or when p>2. The function also sometimes crashes
GFMINPOL now returns the correct answers and does not crash.
GFPLUS and RSENCODE returns incorrect answers for negative inputs
GFPLUS now returns correct answers for negative inputs. This fix also allows RSENCODE to return correct results.
GFLINEQ returns incorrect answers in prime Galois fields of order greaterthan 2
GFLINEQ now solves linear equations in prime Galois fields of order greater than 2.
GFPRIMDF produces "out of memory" messages for degrees higher than 24
GFPRIMDF now uses less memory and can find primitives of degrees greater than 24. Howev er, this calculation will take considerable time.
60
DECODE using the cyclic decoder option does not decode (23,12) Golay codecorrectly
The cyclic decoder now decodes the (23,12) Golay code correctly.
GFPRIMFD finds incorrect primitive polynomial
GFPRIMFD finds the correct primit ive poly nomial for the given Galois field.
GFTUPLE returns incorrect answers when m=1
GFTUPLE now returns the correct answers when m=1.
GFPRIMCK, GFTRUNC, GFADD and GFFILTER causes segmentation violations
GFPRIMCK, GFTRUNC, GFADD and GFFILTER do not cause segmentation violations.
Version 2.0 (R12) Communications Toolbox™ Software
GFPRIMCK returns incorrect answers if p > 2 or inputs are large.
GFPRIMCK correctly determines if a polynomial is irreducible and/or primitive.
DECODE i ncorrectly dec odes block codes
DECODE now correctly decodes block codes using either the [I P] or [P I] standard forms of the generator and parity-check matrices.
RCOSFLT does not correctly filter and upsample the input signal
RCOSFLT now applies the correct raised-cosine filter type a nd fully filters and upsamples the input signal.
EYESCAT is difficult to use and plots I and Q components together
EYESCAT has been replaced by new functions, EYEDIAGRAM and SCATTERPLOT, w h ich are easier to use, plot I and Q components separately, and allow X-Y plots.
ADEMOD ignores the phase offset parameter under the ’pm’ option andhas no sensitivity parameter under the ’fm’ option
The phase offset now causes the correct phase offset in the dem o d ulator. New parameters w ere introduced to allow the sensitivity to be changed.
ADEMOD ’pm’ option - sensitivity parameter is required and causes a dcoffset
ADEMOD now has an optional parameter called ’VCOconst’ that replaces sensitivity and does not cause a dc offset.
RANDINT hangs when the range is large
RANDINT no longer hangs for large numbers.
61
Communications Toolbox™ Release Notes
RANDBIToutputisnotrandom
RANDBIT has been replaced by a new function, RANDERR, which generates random output and supports for seeding.

Changes in Functionality

Compatibility Considerations
The table below lists functions whose behavior has changed.
Function Change in Functionality
bi2de
biterr
biterr, symerr
Distinguishes between rows and columns as input vectors. Treats column vector as separate numbers, not as digits of a single number. To adapt your existing code, transpose the input vector if necessary.
Input argument k must be large enough to represent all eleme nts of the input arguments
Distinguish between rows and columns as input vectors. To adapt your existing code, transpose the input vector if necessary.
x and y.
62
Use different strings for the input argument that controls row-wise and column-wise comparisons.
Produce vector, not scalar, output ifoneinputisavector. Seethese functions’ reference pages for more information.
Version 2.0 (R12) Communications Toolbox™ Software
Function Change in Functionality
de2bi
Second input argument, if it appears, must not be smaller than the number of bits in any element of the first input argument. Previously, the function produced a truncated binary representation instead of an error. To adapt your existing code, specify a su ff ici ently large number for the second input argument and then truncate the answer manually.
ddemod
Default behavior uses no filter, not a Butterworth filter. Regardless of filtering, the function uses an integrator to perform demodulation.
dmod, ddemod, dmodce, ddemodce, modmap, demodmap
For frequency shift keying method, the default separation betw ee n successive frequencies is
2*Fd/M. For minimum shift keying
method, the separation between
encode, decode
frequencies is
No longer support convolutional coding. Use
Fd/2,notFd.
convenc and vitdec
instead.
gflineq
If the equation has no solutions, then the function returns an empty matrix, not a matrix of zeros.
randint
Uses state instead of seed to initialize random number generator. See
rand for more information
about initializing random number generators.
rcosflt
The 'wdelay' flag is superfluous. The function now behaves as the Release 11 function behaved with the
'wdelay'’flag.
Fd,not
63
Communications Toolbox™ Release Notes

Obsolete Functions

Compatibility Considerations
The table below lists functions that are obsolete. Although they are included in Release 12 for backward compatibility, they might be removed in a future release. Where applicable, the second column lists functions that provide similar functionality. In some cases, the similar function requires different arguments or produces different results compared to the original function.
Function Similar Fun ction, if Any
commgui
convdeco vitdec
convenco convenc
eyescat eyediagram, scatterplot
flxor bitxor
gen2abcd
htruthtb syndtable
imp2sys
oct2gen
randbit randerr
sim2gen
sim2logi
sim2tran
viterbi vitdec
64
Communications Toolbox™ Relea s e Notes Compatibility Summary

Communications Toolbox Release Notes Compatibility Summary

This table summ incompatibili use files on mu new feature or
Version (Release) New Features and Changes with Version
Latest Version V4.5 (R2010a)
V4.4 (R2009b) See the Compatibility Consi d erations
V4.3 (R2009a) See the Compatibility Consi d erations
arizes new features and changes that might cause
ties when you upgrade from an earlier version, or when y ou
ltiple versions. Detai ls are provided in the description of the
change.
Compatibility Impact
See the Compatibility Considerations subheading for each of these new features or changes:
“Error Rate Test Console Enhancements” on
page 4
subheading for each of these new features or changes:
“Channel Objects Support Parallel
Computing Toolbox” on page 9
“Functions and Function E lements Being
Removed” on page 11
subheading for each of these new features or changes:
V4.2 (R2008b)
V4.1 (R2008a)
V4.0 (R2007b)
commsrc.package now supports PN sequence
generation
None
None
None
65
Communications Toolbox™ Release Notes
Version (Release) New Features and Changes with Version
Compatibility Impact
V3.5 (R2007a) See the Compatibility Consi d erations
subheading for each of these new features or changes:
“Theoretical Results Refined for
berfading, and BERTool” on page 25
berawgn,
V3.4 (R2006b) See the Compatibility Consi d erations
subheading for each of these new features or changes:
“Object-Based PSK and QAM Modulation
and Demodulation” on page 28
“QAM and PSK M odulation and
Demodulation Functions Obsoleted” on page 28
V3.3 (R2006a)
V3.2 (R14SP3)
None
None
V3.1 (R14SP2) See the Compatibility Consi d erations
subheading for each of these new features or changes:
“gfrank” on page 32
“encode, decode, and quantiz” on page 32
V3.0.1 (R14SP1)
None
66
Communications Toolbox™ Relea s e Notes Compatibility Summary
Version (Release) New Features and Changes with Version
Compatibility Impact
V3.0 (R14) See the Compatibility Considerations
subheading for each of these new features or changes:
“Updating Existing M odulation MATLAB
Code” on page 41
“Updating Existing BCH MATLAB Code” on
page 41
“Changes in Functionality” on page 43
“Obsolete Functions” on page 43
V2.1 (R13) See the Compatibility Considerations
subheading for each of these new features or changes:
“Updating Existing Galois Field Code” on
page 47
“Updating Existing Reed-Solomon MATLAB
Code” on page 53
“Changes in Functionality” on page 55
“Obsolete Functions” on page 56
V2.0 (R12) See the Compatibility Considerations
subheading for each of these new features or changes:
“Changes in Functionality” on page 62
“Obsolete Functions” on page 64
67
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