How to generate BPSK signal
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Meshari Alsahli
on 20 Apr 2020
Commented: Idin Motedayen-Aval
on 30 May 2024
- Generate 1000 random binary data bits.
- Convert unipolar to bipolar in the databits.
- Modulate the bipolar bits with Binary Phase Shift Keying (BPSK).
- Multiply the baseband BPSK with a carrier fc = 100 Hz.
- The modulated BPSK signals will be transmitted through a Noiseless channel. At the receiver side demodulate the received signal by multiplying it with a carrier and passing it through a Low Pass Filter (LPF).
- Decode the BPSK signal using match filtering and sgn function.
1 Comment
Usama Saleem
on 27 Dec 2021
: Apply the concept of conversion of a double word into another word and implement it on Arduino and verify with the help of an Example.
Accepted Answer
MathWorks Support Team
on 13 Jul 2021
Edited: MathWorks Support Team
on 13 Jul 2021
% Set up
% Specified parameters
M = 2; % Modulation order (BPSK)
nData = 1000; % Number of bits
Fc = 100; % Carrier frequency, Hz
% Assumed parameters
Fb = 100; % Bit (baud) rate, bps
Fs = 8*Fc; % Sampling frequency, Hz
Ts = 1/Fs; % Sample time, sec
Td = nData/Fb; % Time duration, sec
spb = Fs/Fb; % Samples per bit
fSpan = 4; % Filter span in symbols
% Visualize the spectrum of baseband BPSK & modulated carrier
specAn1 = dsp.SpectrumAnalyzer("SampleRate", Fs, "Method","Filter bank","AveragingMethod","Exponential","Title", "Pulse Shaped Baseband BPSK");
specAn2 = dsp.SpectrumAnalyzer("SampleRate", Fs, "Method","Filter bank","AveragingMethod","Exponential","Title", "BPSK Modulated Carrier");
% Transmitter
% Generate random data bits
data = randi([0 M-1],nData,1);
% Modulate and plot the data
% pskmod() effectively converts unipolar to bipolar bits and performs BPSK
% modulation
modData = real(pskmod(data,M));
% Pulse shape & upsample to match carrier's sampling rate. Pulse shaping is
% used to reduce intersymbol interference and to reduce spectral width of
% the modulated signal.
txFilter = comm.RaisedCosineTransmitFilter("FilterSpanInSymbols",fSpan,"OutputSamplesPerSymbol",spb);
txfilterOut = txFilter(modData);
specAn1(txfilterOut);
![](http://www.mathworks.com/matlabcentral/answers/uploaded_files/683703/bb64782f12485eaf351c05a1ac78938e.png)
% Multiply modulated & pulse shaped signal with carrier
sine = dsp.SineWave("Frequency",Fc,"SampleRate",Fs,"ComplexOutput",false,"SamplesPerFrame",Td/Ts);
carrier = sine();
txSignal = txfilterOut .* carrier;
specAn2((txSignal));
![](http://www.mathworks.com/matlabcentral/answers/uploaded_files/683708/cfe6b7ac5f9903c10aa58d0361406394.png)
% Receiver
% Multiply received signal with carrier
rxSignal = txSignal .* conj(carrier);
% Low pass match filter to account for pulse shaping
rxFilter = comm.RaisedCosineReceiveFilter("FilterSpanInSymbols",fSpan,"InputSamplesPerSymbol",spb,"DecimationFactor",spb);
rxFilterOut = rxFilter(rxSignal);
% Demodulate
% For BPSK, pskdemod() is equivalent to sign function
dataOut = pskdemod(rxFilterOut,M);
% Each of the tx and rx filters introduces a delay of fSpan/2 symbols, for
% a total delay of fSpan symbols (= bits for BPSK). Delay received bits by
% fDelay for accurate comparison with transmitted bits.
fDelay = fSpan;
[numErr, ber] = biterr(data(1:nData-fDelay),dataOut(fDelay+1:nData))
2 Comments
Jaweed Raza
on 16 Sep 2023
I tried running the above scripts but generated that there are errors in
specAn1 = dsp.SpectrumAnalyzer("SampleRate", Fs, "Method","Filter bank","AveragingMethod","Exponential","Title", "Pulse Shaped Baseband BPSK");
specAn2 = dsp.SpectrumAnalyzer("SampleRate", Fs, "Method","Filter bank","AveragingMethod","Exponential","Title", "BPSK Modulated Carrier");
I am not sure why these errors are generated. The lines are identical for SpecAn1 and SoecAn2. What's the difference and how do they differentiate to display the pulse and spectrum?
Idin Motedayen-Aval
on 30 May 2024
Note: dsp.SpectrumAnalyzer will be removed in a future release (it's on a deprecation path).
You can simply replace "dsp.SpectrumAnalyzer" with "spectrumAnalyzer" in the above code, and everything will work as expected.
When running the code above in the latest MATLAB release (R2024a), there are no errors (it will produce warnings if you continue to use dsp.SpectrumAnalyzer).
@Jaweed Raza, there are two lines creating two spectrum analyzer objects named specAn1 and specAn2 (when you run this code, two different spectrum analyzer windows pop up; this is how those two figures are generated).
More Answers (1)
Maadhav Akula
on 23 Apr 2020
You can use the follllowing system objects to perform BPSK Modulation and Demodulation:
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