V-BLAST Receiver Detection Performance Analysis

In this paper, we discuss the simulation prototype program and provide a detailed analysis of four V-BLAST receiver detection schemes: Zero Forcing (ZF), ZF with Successive Interference Cancellation (ZF-SIC), Minimum Mean Square Error (MMSE), and MMSE with SIC (MMSE-SIC). The implementation involves MATLAB-based simulations where each algorithm processes the received signal matrix using different interference cancellation strategies. The ZF detector uses pseudo-inverse operations to eliminate interference, while MMSE incorporates noise statistics for improved performance. The SIC variants iteratively detect and subtract strongest signals using slicing and reconstruction techniques. We generate BER vs SNR curves by simulating transmission over multiple frames with varying noise levels, employing Monte Carlo methods for statistical accuracy. The transmitter initialization module configures key parameters: number of transmit antennas (tx) defines the spatial multiplexing gain, receive antennas (rx) determine interference cancellation capability, and transmission matrix length L (frame length) affects the simulation's statistical reliability. The code structure includes modular functions for channel matrix generation, signal detection algorithms, and performance metric calculation. This analysis helps researchers better understand V-BLAST receiver performance characteristics and provides reference implementations for wireless communication system studies. The simulation framework allows for easy extension to include additional algorithms or channel models.