Particle-Swarm-Optimization-Based Minimum-BER Detection for MIMO Systems with Time-Reversal Space-Time Block Codes

Abstract

The aim of this paper is to present an efficient adaptive minimum bit error rate (MBER) detection approach for multiple-in-multiple-out (MIMO) systems with Time-Reversal space-time block codes (TR-STBC), which have attracted enormous attention in recent years. In general, the popular minimum mean square error (MMSE) receiver can be employed due to its good performance and amenability to adaptive implementation. However, it is not optimal in terms of the bit error rate (BER) performance. In this proposed approach, the main idea is to directly minimize the BER by employing an particle swarm optimization (PSO) algorithm on the estimated BER function in order to adaptively adjust the weights of the MBER detectors. Simulation results demonstrate that this adaptive minimum- BER detection using PSO algorithm (MBER-PSO) can achieve significantly superior performance, which is very close to that of the optimal maximum-likelihood sequence estimation (MLSE) detector.