Communication Process Simulation: Source Generation, Channel Coding, Modulation, Transmission, Demodulation, Decoding, and Error Comparison

This paper presents a Simulink-based simulation approach for modeling complete communication processes, including source signal generation, channel coding, modulation, channel transmission, demodulation, channel decoding, and error comparison. The simulation implementation utilizes Simulink's library blocks for constructing communication system components, where source generators create test signals, encoder blocks implement error-correction schemes (such as convolutional or Reed-Solomon coding), and modulator/demodulator pairs simulate various digital modulation techniques. The study provides detailed performance analysis of multiple modulation schemes (2FSK, 2PSK, QPSK, 16PSK, 16QAM) under different signal-to-noise ratio (SNR) conditions, evaluating key metrics like bit error rate (BER) and system robustness. Through this simulation methodology, we can comprehensively understand the practical performance of different modulation techniques in real communication scenarios and conduct in-depth research on how SNR variations impact communication quality. The simulation framework allows parameter tuning through MATLAB scripts for automated SNR sweeping and result collection, enabling systematic performance comparison across modulation schemes.