MMSE Receiver Implementation for DS-SS Systems in AWGN Channel

This documentation presents MATLAB source code implementing an MMSE (Minimum Mean Square Error) receiver for Direct Sequence Spread Spectrum (DS-SS) communication systems operating in Additive White Gaussian Noise (AWGN) channel conditions. The implementation demonstrates key signal processing techniques to enhance receiver performance through interference mitigation strategies. The core algorithm employs MMSE criteria to optimize the receiver's performance in noise-dominated environments. The code includes essential components such as: - Spreading code generation and synchronization modules - MMSE filter coefficient calculation using statistical signal processing methods - Noise variance estimation and compensation algorithms - Bit error rate (BER) performance evaluation through Monte Carlo simulations This implementation serves as both an educational resource for understanding digital spread spectrum communication principles and a practical reference for MATLAB programming in communication systems. The code demonstrates proper handling of signal correlation, matrix operations for MMSE weight computation, and efficient simulation techniques for performance analysis. For researchers and students interested in digital communications, noise mitigation techniques, and interference rejection methods, this program provides valuable insights into receiver design methodologies. The MATLAB implementation also serves as an excellent learning resource for those developing skills in communication system simulation and signal processing programming. The comprehensive documentation and commented code structure facilitate understanding of both theoretical concepts and practical implementation aspects, making it suitable for academic study and professional development in communication engineering.