Detection Algorithm for V-BLAST System Based on Hybrid Discrete Particle Swarm Optimization

Abstract

According, to the new discrete particle swarm optimization (NDPSO) and combining NDPSO with the mutation operator of the genetic algorithm, we proposed a novel hybrid discrete particle swarm optimization detection algorithm for the vertical bell-labs layered space-time (V-BLAST) system. The complexity of the proposed detection algorithm is analyzed. Compared with the maximum likelihood (ML) detection algorithm which has the best BER performance but the highest computational complexity, the proposed detection algorithm is capable of reducing the computational complexity significantly. Simulation results show that the bit error rate (BER) of the proposed algorithm is very close to that of the ML detection algorithm and significantly lower than the other suboptimal detection algorithms. The algorithm is a new method to solve the detection problem in V-BLAST system.