MIMO System Implementation with Maximum Likelihood Detection

This MATLAB code implements Maximum Likelihood Detection (MLD) to calculate the bit error rate of MIMO systems. The code serves as a valuable tool for evaluating MIMO system performance, especially in high signal-to-noise ratio scenarios. The implementation utilizes the MLD algorithm to demodulate received signals and computes the bit error rate by comparing received signals with original transmitted signals. Key implementation aspects include: - MLD algorithm that searches through all possible transmitted symbol combinations - Distance metric calculation between received signal vectors and candidate symbol vectors - Minimum distance selection for optimal symbol detection - BER calculation through systematic comparison of transmitted and received bit sequences Through this code implementation, researchers can gain deeper insights into MIMO system performance characteristics and conduct performance optimization and improvement studies. The modular structure allows for easy parameter modification and algorithm extension to various MIMO configurations.