Modulation and Demodulation Simulation Code

This article presents MATLAB-based modulation and demodulation simulation code that demonstrates exceptional performance in simulating MQAM (Multiple Quadrature Amplitude Modulation) systems. The implementation employs core MATLAB functions for signal generation, modulation mapping, and demodulation processing. The simulation architecture includes constellation diagram generation, additive white Gaussian noise (AWGN) channel modeling, and bit error rate (BER) calculation algorithms. These simulation codes provide valuable insights into the performance characteristics and trade-offs of various modulation schemes, enabling better selection decisions for practical applications. The implementation features comprehensive demodulation algorithm evaluation, including maximum likelihood detection and equalization techniques, with real-time BER performance monitoring. Key functions include: - Modulation mapping with Gray coding for optimal bit-to-symbol assignment - AWGN channel simulation using randn() function for noise generation - Constellation point calculation and Euclidean distance-based detection - BER analysis through Monte Carlo simulation methods The modular code structure allows easy modification of modulation orders (4QAM, 16QAM, 64QAM etc.) and channel parameters. These MATLAB simulations serve as an excellent educational resource and practical tool for communication system optimization, providing hands-on experience with digital communication fundamentals and performance evaluation metrics.