Main Content

comm.CPMDemodulator

Demodulate signal using CPM method and Viterbi algorithm

Description

The comm.CPMDemodulator System object™ demodulates an input signal that was modulated using the continuous phase modulation (CPM) method. The input is a baseband representation of the modulated signal. For more information about the demodulation and filtering applied, see CPM Demodulation Method and Pulse Shape Filtering.

To demodulate a signal that was modulated using the CPM method:

  1. Create the comm.CPMDemodulator object and set its properties.

  2. Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

Creation

Description

cpmdemod = comm.CPMDemodulator creates a demodulator System object to demodulate input CPM signals using the Viterbi algorithm.

example

cpmdemod = comm.CPMDemodulator(Name=Value) sets properties using one or more name-value arguments. For example, comm.CPMDemodulator(SymbolMapping='Gray') specifies gray-ordered symbol mapping for the modulated symbols.

example

cpmdemod = comm.CPMDemodulator(M,Name=Value) sets the ModulationOrder property to M and optional name-value arguments.

Properties

expand all

Unless otherwise indicated, properties are nontunable, which means you cannot change their values after calling the object. Objects lock when you call them, and the release function unlocks them.

If a property is tunable, you can change its value at any time.

For more information on changing property values, see System Design in MATLAB Using System Objects.

Modulation order, specified as a power-of-two scalar. The modulation order, M = 2k specifies the number of points in the signal constellation, where k is a positive integer indicating the number of bits per symbol.

Data Types: double

Option to output data as bits, specified as a logical 0 (false) or 1 (true).

  • Set this property to false to output data as integers.

  • Set this property to true to output data as bits.

For more information, see Integer-Valued and Binary-Valued Output Signals.

Data Types: logical

Demodulation decision method, specified as 'Hard decision' or 'Approximate log-likelihood ratio'.

  • When you set this property to 'Hard decision', the output, Y, is returned as a column vector with element values of 0 or 1. The output data type is specified by OutputDataType.

  • When you set this property to 'Approximate log-likelihood ratio', the output data type is the same as the input, X. For the approximate log-likelihood ratio, the object generates positive values for 0s and negative values for 1s.

For more information, see Algorithms.

Dependencies

This property applies when you set BitOutput to true.

Source of noise variance, specified as 'Property' or 'Input port'.

  • When you set this property to 'Property', you set the noise variance by using the Variance property.

  • When you set this property to 'Input port', you set the noise variance by using the nvar input argument.

Dependencies

This property applies when you set BitOutput to true and DecisionMethod to 'Approximate log-likelihood ratio'.

Noise variance, specified as a positive scalar value.

Tunable: Yes

Dependencies

This property applies when you set BitOutput to true, VarianceSource to 'Property', and DecisionMethod to 'Approximate log-likelihood ratio'.

Data Types: double

Symbol encoding mapping of constellation bits, specified as 'Binary' or 'Gray'.

  • Set this property to 'Binary' to map symbols using binary-coded ordering.

  • Set this property to 'Gray' to map symbols using Gray-coded ordering.

For more information, see Integer-Valued and Binary-Valued Output Signals.

Dependencies

To enable this property, set the BitOutput property to true.

Modulation index, specified as a nonnegative scalar or column vector. For more information, see CPM Demodulation Method.

Data Types: double

Type of frequency pulse shaping used by the modulator to smooth the phase transitions of the modulated signal, specified as 'Rectangular', 'Raised Cosine', 'Spectral Raised Cosine', 'Gaussian', or 'Tamed FM'. For more information, see Pulse Shape Filtering.

Main lobe duration of the largest lobe in the spectral raised cosine pulse, specified as a positive integer representing the number of symbol intervals used by the demodulator to pulse-shape the modulated signal.

Dependencies

To enable this property, set the FrequencyPulse property to 'Spectral Raised Cosine'.

Data Types: double

Roll-off factor of the spectral raised cosine pulse, specified as a scalar in the range [0, 1].

Dependencies

To enable this property, set the FrequencyPulse property to 'Spectral Raised Cosine'.

Data Types: double

Product of the bandwidth and symbol time of the Gaussian pulse shape, specified as a positive scalar. Use BandwidthTimeProduct to reduce the bandwidth, at the expense of increased intersymbol interference.

Dependencies

To enable this property, set the FrequencyPulse property to 'Gaussian'.

Data Types: double

Length of the frequency pulse shape in symbol intervals, specified as a positive integer. For more information on the frequency pulse length, refer to LT in Pulse Shape Filtering.

Data Types: double

Symbol prehistory, specified as scalar or vector with odd integer elements in the range [– (ModulationOrder – 1), (ModulationOrder – 1)]. This property defines the data symbols used by the modulator prior to the first call of the object, in reverse chronological order.

  • A scalar value expands to a vector of length PulseLength – 1.

  • For a vector, the length must be PulseLength – 1.

Data Types: double

Initial phase offset in radians of the modulated waveform, specified as a scalar.

Data Types: double

Number of samples per input symbol, specified as a positive integer. This property represents the number of samples input for each integer or binary word output. For all nonbinary schemes, as defined by the pulse shapes, this value must be greater than 1.

Data Types: double

Traceback depth for the Viterbi algorithm, specified as a positive integer representing the number of trellis branches that the Viterbi algorithm uses to construct each traceback path. The value of this property is also the output delay and the number of zero symbols that precede the first meaningful demodulated symbol in the output. For more information, see Traceback Depth and Output Delays.

Data Types: double

Data type of the output, specified as 'double', 'int8', 'int16', 'int32', 'int32', 'uint8', 'uint16', 'uint32', or 'logical'.

  • When you set the BitOutput property to false, you can set the output data type to 'double', 'single', 'int8', 'int16', or 'int32'.

  • When you set the BitOutput property to true, you can set the output data type to 'double', 'single', 'int8', 'int16', 'int32', 'uint8', 'uint16', 'uint32', or 'logical'.

Dependencies

This property applies when you set BitOutput to false or when you set BitOutput to true and DecisionMethod to 'Hard decision'.

Usage

Description

Y = cpmdemod(X) applies CPM demodulation method to the input signal and returns the demodulated signal.

Input Arguments

expand all

CPM-modulated signal, specified as a column vector with a length equal to an integer multiple of the SamplesPerSymbol property.

This object accepts variable-size inputs. After the object is locked, you can change the size of each input channel, but you cannot change the number of channels. For more information, see Variable-Size Signal Support with System Objects.

Data Types: double | single
Complex Number Support: Yes

Noise variance, specified as a positive scalar value.

Dependencies

This property applies when you set BitOutput to true, VarianceSource to 'Input port', and DecisionMethod to 'Approximate log-likelihood ratio'.

Data Types: double | single

Output Arguments

expand all

Output signal, returned as a column vector or matrix. The output signal has a delay equal to the TracebackDepth property value. To specify whether the object outputs values as integers or bits, use the BitOutput property. To specify the output data type, use the OutputDataType property.

For more information, see Integer-Valued and Binary-Valued Output Signals.

Data Types: single | double | int8 | int16 | int32 | uint8 | uint16 | uint32 | logical

Object Functions

To use an object function, specify the System object as the first input argument. For example, to release system resources of a System object named obj, use this syntax:

release(obj)

expand all

stepRun System object algorithm
releaseRelease resources and allow changes to System object property values and input characteristics
resetReset internal states of System object

Examples

collapse all

Create CPM modulator, and CPM demodulator System objects.

    cpmmodulator = comm.CPMModulator(8, ...
        'BitInput',true, ...
        'SymbolMapping','Gray');
    cpmdemodulator = comm.CPMDemodulator(8, ...
        'BitOutput',true, ...
        'SymbolMapping','Gray');

Create an error rate calculator System object™, that accounts for the delay caused by the Viterbi algorithm.

    delay = log2(cpmdemodulator.ModulationOrder) ...
        * cpmdemodulator.TracebackDepth;
    errorRate = comm.ErrorRate('ReceiveDelay',delay);

Transmit 100 3-bit words and print the error rate results.

    for counter = 1:100
        data = randi([0 1],300,1);
        modSignal = cpmmodulator(data);
        noisySignal = awgn(modSignal,0);
        receivedData = cpmdemodulator(noisySignal);
        errorStats = errorRate(data,receivedData);
    end
    fprintf('Error rate = %f\nNumber of errors = %d\n', ...
      errorStats(1),errorStats(2))
Error rate = 0.004474
Number of errors = 134

Using the comm.CPMModulator and comm.CPMDemodulator System objects, apply Gaussian frequency-shift keying (GFSK) modulation and demodulation to random bit data.

Create a GFSK modulator and demodulator pair.

gfskMod = comm.CPMModulator( ...
    'ModulationOrder',2, ...
    'FrequencyPulse','Gaussian', ...
    'BandwidthTimeProduct',0.5, ...
    'ModulationIndex',1, ...
    'BitInput',true);
gfskDemod = comm.CPMDemodulator( ...
    'ModulationOrder',2, ...
    'FrequencyPulse','Gaussian', ...
    'BandwidthTimeProduct',0.5, ...
    'ModulationIndex',1, ...
    'BitOutput',true);

Generate random bit data and apply GFSK modulation. Use a scatter plot to view the constellation.

numSym = 100;
x = randi([0 1],numSym*gfskMod.SamplesPerSymbol,1);
y = gfskMod(x);
eyediagram(y,16)

Demodulate the GFSK-modulated data. To verify that the demodulated signal data is equal to the original data, account for the delay introduced by the Gaussian filtering in the GFSK modulation and demodulation processes.

z = gfskDemod(y);
delay = finddelay(x,z);
isequal(x(1:end-delay),z(delay+1:end))
ans = logical
   1

Algorithms

expand all

References

[1] Anderson, John B., Tor Aulin, and Carl-Erik Sundberg. Digital Phase Modulation. New York: Plenum Press, 1986.

[2] Benedetto, S., G. Montorsi, D. Divsalar, and F. Pollara. "A Soft-Input Soft-Output Maximum A Posterior (MAP) Module to Decode Parallel and Serial Concatenated Codes." Jet Propulsion Lab TDA Progress Report, 42–127, (November 1996).

[3] Viterbi, A.J. “An Intuitive Justification and a Simplified Implementation of the MAP Decoder for Convolutional Codes.” IEEE Journal on Selected Areas in Communications 16, no. 2 (February 1998): 260–64. https://doi.org/10.1109/49.661114.

Extended Capabilities

Version History

Introduced in R2012a

expand all