BPSK Modulation and Demodulation Simulation Implementation

This program runs in the MATLAB environment to simulate the BPSK modulation and demodulation implementation process. The simulation begins by generating random binary bit streams using MATLAB's random number generation functions. These bits then undergo BPSK modulation, typically implemented by mapping binary 0 to +1 and binary 1 to -1 using simple array operations. Gaussian white noise is added to the modulated signal using MATLAB's awgn function or manual noise generation to simulate real-channel conditions. The program implements differential demodulation through signal delay and multiplication operations, followed by low-pass filtering using digital filter design techniques (FIR/IIR filters) to remove high-frequency components. The filtered output produces eye diagrams, which can be visualized using MATLAB's plotting functions. By analyzing these eye diagrams through measurement of eye opening and distortion, key system performance metrics like Bit Error Rate (BER) can be evaluated. In practical communication systems, BPSK serves as a fundamental modulation scheme, making this simulation highly valuable for communication system design and performance assessment. The code demonstrates essential DSP operations including constellation mapping, noise modeling, and filter implementation approaches.