MATLAB Simulation of QAM Modulation and Demodulation

This article presents a detailed MATLAB simulation implementation for Quadrature Amplitude Modulation (QAM) systems. The simulation package includes complete code for both modulation and demodulation processes, which is available for download. We encourage users to download and support this technical resource. The simulation comprehensively demonstrates QAM principles through practical MATLAB implementations, including key functions such as constellation mapping, pulse shaping, and coherent detection algorithms. The code structure features modular design with separate functions for signal generation, modulation, channel modeling, and demodulation processes. Key implementation aspects include: - Constellation point mapping using MATLAB's qammod function - Raised-cosine filtering for pulse shaping - AWGN channel simulation with varying SNR levels - Maximum likelihood detection algorithms for symbol recovery Through this simulation, users will gain practical understanding of QAM system operations and can apply these techniques to real-world communication system designs. The MATLAB code provides customizable parameters for different QAM orders (16-QAM, 64-QAM, etc.) and includes performance analysis tools for measuring bit error rates. We welcome users to download and experiment with this simulation package. For any technical questions or feedback regarding the implementation details, please feel free to engage in technical discussions with our team.