MATLAB-Based Communication System Simulation: BPSK Implementation Process

The article discusses MATLAB-based communication system simulation, specifically focusing on the BPSK (Binary Phase Shift Keying) implementation process. Simulation is a critical step for evaluating and analyzing communication system performance. During the simulation, we model the complete signal processing chain at both transmitter and receiver ends, including key stages such as modulation, demodulation, and channel transmission. The MATLAB implementation typically involves generating random binary data, applying BPSK modulation using phase shifting (0° and 180° for bits 0 and 1 respectively), adding AWGN (Additive White Gaussian Noise) to simulate channel conditions, and employing coherent detection for demodulation. Furthermore, through simulation we can systematically study how various parameters impact system performance, including signal-to-noise ratio (SNR) and bit error rate (BER). The BER performance is typically analyzed by comparing the transmitted and received bits across different SNR values, often plotted using semilog graphs. This simulation approach enables better understanding and optimization of communication system performance, ultimately improving system reliability and efficiency. Key MATLAB functions used in such simulations may include pskmod() for modulation, awgn() for noise addition, and biterr() for error rate calculation.