MATLAB Simulation of MMSE Detection Algorithm for MIMO Systems

The MATLAB simulation of the MMSE detection algorithm for MIMO systems is of significant importance. In this simulation, we implement the MMSE detection algorithm using MATLAB and conduct detailed analysis and evaluation. The implementation typically involves calculating the MMSE filter matrix using the formula W = H^H(HH^H + σ²I)^{-1}, where H represents the channel matrix and σ² denotes the noise variance. Through this simulation, we can gain in-depth understanding of the role and performance of the MMSE detection algorithm in MIMO systems. Additionally, we explore various improvement and optimization methods, such as regularization techniques and iterative approaches, to further enhance the algorithm's performance and effectiveness. This simulation experiment helps better understand the relationship between MIMO systems and the MMSE detection algorithm, providing valuable references for further research and development. Key MATLAB functions used in the implementation may include matrix operations, eigenvalue decomposition, and statistical analysis tools for evaluating bit error rate (BER) and system capacity.