mumax = maxstep(eq,x)
predicts a bound on the step size to provide convergence of the mean values of the
coefficients of the equalizer defined by the eq
System object™. The set input signal sequences in x are assumed
to have zero mean or nearly so.
Create an equalizer System object™, specifying a decision feedback LMS equalizer having eight forward taps, five feedback taps, a step size of 0.03, and expecting a BPSK signal constellation.
M = 2; % Modulation order
eqdfe_lms = comm.DecisionFeedbackEqualizer(Algorithm='LMS', ...
NumForwardTaps=8,NumFeedbackTaps=5,StepSize=0.03, ...
Constellation=pskmod(0:M-1,M));
Change the reference tap index of the equalizer.
eqdfe_lms.ReferenceTap = 4;
Build a set of test data. Receive the data by convolving the signal.
x = pskmod(randi([0 M-1],1000,1),M);
rxsig = conv(x,[1 0.8 0.3]);
Use maxstep to display the maximum permitted step size.
mxStep = maxstep(eqdfe_lms,rxsig)
mxStep =
0.1028
Equalize the received signal. Use the first 200 symbols as the training sequence.
Equalizer object, specified as a comm.LinearEqualizer or
comm.DecisionFeedbackFEqualizer
System object.
Input signal, specified as a column vector. The input signal vector length
must be equal to an integer multiple of the InputSamplesPerSymbol property. For more information, see
Symbol Tap Spacing.
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