ABSTRACT
This study explores the Performance Evaluation of MIMO Detection Algorithms Implemented in Verilog, focusing on their efficiency and practicality in hardware-based wireless communication systems. MIMO systems enhance data rates and reliability by employing multiple antennas at both the transmitter and receiver, making them a cornerstone of modern communication technologies. The research investigates the Verilog implementation of several detection algorithms, including the Zero Forcing Detector, Minimum Mean Square Error (MMSE) Detector, Successive Interference Cancellation (SIC) Detector, Parallel Interference Cancellation (PIC) Detector, and Maximum Likelihood (ML) Detector. Each algorithm is evaluated for its ability to mitigate interference, maximize detection accuracy, and meet hardware implementation constraints. The Zero Forcing Detector eliminates channel effects to nullify interference, while the MMSE Detector minimizes mean square error for improved performance. SIC and PIC detectors use iterative methods to handle interference, and the ML Detector achieves optimal accuracy by identifying the most probable transmitted symbols, albeit with higher computational complexity. Using Verilog-based simulations, the study examines computational trade-offs, hardware resource utilization, and system performance metrics. Insights from this research provide valuable guidance for selecting detection algorithms that balance accuracy, computational efficiency, and resource requirements, making them suitable for real-time MIMO communication hardware applications.
