MATLAB Simulation of 16-QAM Baseband Transmission System with Full Implementation Details

In this paper, I have implemented a comprehensive MATLAB simulation for a 16-QAM baseband transmission system. The simulation encompasses the following core modules: binary information source generation using random bit streams, 16-QAM modulation with constellation mapping implementation, transmit filter design using raised-cosine filters, receive filter for matched filtering, sampling at optimal instants, adaptive equalization techniques, signal detection with maximum likelihood decision criteria, 16-QAM demodulation with symbol-to-bit conversion, information recovery and output validation, and comprehensive BER performance curve generation across varying SNR conditions. This research paper provides detailed technical insights into 16-QAM baseband transmission systems and demonstrates the functionality and performance of each module through MATLAB simulations. The implementation includes key algorithmic approaches such as Gray coding for constellation mapping, pulse shaping techniques using root-raised-cosine filters, and LMS adaptive equalization algorithms. Through this simulation, we can gain deeper understanding of 16-QAM modulation principles and practical applications, while evaluating system performance using BER curves that compare theoretical and simulated results. I hope this paper serves as a valuable resource for learning and researching 16-QAM baseband transmission systems. The MATLAB code implementation includes detailed comments explaining key functions like qammod(), qamdemod(), and berawgn() for performance analysis. For any technical questions or suggestions regarding the implementation methodology, please feel free to contact me. Thank you for your interest in this work!