MMSE-Ordered Successive Interference Cancellation Detection Algorithm

This program is designed to illustrate the Minimum Mean Square Error-Ordered Successive Interference Cancellation (MMSE-OSIC) detection algorithm, which specifically addresses serial interference issues in digital communication systems. Serial interference refers to signal distortion caused by electrical and magnetic coupling in transmission lines during data transmission. The algorithm effectively mitigates this interference by minimizing the mean square error through ordered detection and cancellation of interfering signals. The implementation involves calculating MMSE filter weights, sorting users based on signal-to-interference ratios, and sequentially decoding and subtracting strongest signals using MATLAB's matrix operations and sorting functions. This approach significantly enhances data transmission reliability and accuracy, making the algorithm particularly valuable for widespread application in digital communication fields such as MIMO systems and multi-user detection scenarios.