Multiuser detection using the particle swarm optimization algorithm in DS-CDMA communication systems

An algorithm was developed to improve multiuser detection (MUD) using particle swarm optimization (PSO) in direct-sequence code division multiple access (DS-CDMA) systems to provide a move robust algorithm and better near-far resistance with parallel processing. The modified algorithm is a hybridization of the PSO-MUD algorithm with a multistage detector which reduces the computational complexity by providing faster convergence. Simulation results show that the proposed detectors benefit greatly from the particle swarm algorithm and have significant performance improvements over conventional receivers and previous multiuser detectors based on the genetic algorithm in terms of bit-error-rate, convergence rate and near-far resistance.