MATLAB Simulation of 16-QAM Baseband Transmission System

In this course paper, I implemented a MATLAB simulation of a 16-QAM baseband transmission system. The system was divided into several key functional modules: binary data source generation using random bit sequences, 16-QAM modulation implemented with MATLAB's qammod function that maps 4-bit symbols to 16 constellation points, transmitter filter design using raised-cosine filters for pulse shaping, matched receiver filter implementation, sampling techniques with proper timing recovery, equalization algorithms to combat channel distortion, signal detection employing maximum likelihood decision metrics, 16-QAM demodulation using qamdemod function for symbol-to-bit mapping, and information recovery output with error detection. Through the coordinated operation of these modules, I successfully generated BER performance curves using Monte Carlo simulation techniques with varying SNR conditions. Furthermore, I conducted additional investigations and research, including performance analysis under different parameter configurations and system stability evaluation in various noise environments using AWGN channel models. These research results demonstrate the feasibility and effectiveness of the 16-QAM baseband transmission system. I hope my paper can provide valuable references and inspiration for readers interested in digital communication systems.