Variance of additive noise component


Assignment:

Write a MATLAB program that performs a Monte Carlo simulation of a binary DPSK communication system. In this case, the transmitted signal phases are θ = 0 and e = 180°. A θ = 0 phase change corresponds to the transmission of a 0. A θ = 180° phase change corresponds to the transmission of a 1. Perform the simulation for N = 10000 bits at different values of the SNR parameter Eb! No. It is convenient to normalize Eb to unity. Then, with a-2 = No/2, the SNR is Eb/ No = l/σ2 , where σ2 is the variance of the additive noise component. Hence, the SNR can be controlled by scaling the variance of the additive noise component. Plot and compare the measured error rate of the binary DPSK with the theoretical error probability given by (7.3 .23) .

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MATLAB Programming: Variance of additive noise component
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