Employ raised cosine filtering to reduce inter-symbol interference (ISI) that results from a nonlinear amplifier.
Initialize a simulation variable for modulation order.
M = 16; % Modulation order
Create square root raised cosine filter objects.
txfilter = comm.RaisedCosineTransmitFilter; rxfilter = comm.RaisedCosineReceiveFilter;
Create a memoryless nonlinearity System object to introduce nonlinear behavior to the modulated signal. Using name-value pairs, set the
Method property to
Saleh model to emulate a high power amplifier.
hpa = comm.MemorylessNonlinearity('Method','Saleh model', ... 'InputScaling',-10,'OutputScaling',0);
Generate random integers and apply 16-QAM modulation.
x = randi([0 M-1],1000,1); modSig = qammod(x,M,'UnitAveragePower',true);
Plot the eye diagram of the modulated signal. At time 0, there are three distinct "eyes" for 16-QAM modulation.
Amplify the modulated signal using
txSigNoFilt = hpa(modSig);
Plot the eye diagram of the amplified signal without RRC filtering. At time 0, there are multiple eyes. This is a result of inter-symbol interference from the nonlinear amplifier.
Filter the modulated signal using the RRC transmit filter.
filteredSig = txfilter(modSig);
hpa and amplify the filtered signal. The
release function is needed because the input signal dimensions change due to filter interpolation.
release(hpa) txSig = hpa(filteredSig);
txSig using the RRC matched receive filter.
rxSig = rxfilter(txSig);
Plot the eye diagram of the signal after the application of the receive filter. There are once again three distinct eyes as the matched RRC filters mitigate ISI.