VBLAST MATLAB Implementation for Graduation Project: ZF, MMSE, QR, ZF_IC, and MMSE+IC Decoding Algorithms

This MATLAB program implements various decoding techniques for VBLAST (Vertical Bell Laboratories Layered Space-Time) systems as part of a graduation project. The implementation includes comprehensive decoding algorithms: Zero Forcing (ZF), Minimum Mean Square Error (MMSE), QR decomposition, ZF with Interference Cancellation (ZF_IC), and MMSE combined with Interference Cancellation (MMSE+IC). The code demonstrates how these decoding methods enhance signal transmission performance by utilizing matrix inversion techniques for ZF, statistical optimization for MMSE, orthogonal decomposition for QR, and iterative cancellation processes for IC-based methods. Through systematic implementation and comparative analysis of these algorithms, the program provides valuable insights into their respective advantages and limitations in MIMO communication systems, offering robust support for successful graduation project completion. The implementation includes key MATLAB functions for matrix operations, signal processing, and performance metrics calculation to evaluate bit error rates and system capacity under different decoding strategies.