Comparative Analysis of Signal Detection Algorithms in MIMO-OFDM Systems

Signal detection represents a critical component in MIMO-OFDM systems, significantly impacting overall system performance. Numerous detection algorithms exist with distinct advantages and limitations. This article conducts a systematic comparison of these algorithms to evaluate their applicability in MIMO-OFDM implementations. Through detailed analysis of algorithm characteristics – including computational complexity, error rate performance, and implementation considerations – we establish a framework for selecting appropriate detection strategies. Key algorithms covered include Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and advanced techniques like Sphere Decoding and Maximum Likelihood Detection, with discussions on their MATLAB implementation approaches using matrix operations and optimization functions. The comparative study provides valuable insights for system design optimization, offering researchers and engineers a comprehensive perspective on algorithm selection based on specific performance requirements and computational constraints.