Multiuser detector based on particle swarm algorithm
LU Zhen-su, Yan Shi · 2004
Genetic algorithms (GA) have proven to be a useful method of optimization for multidimensional engineering problems. A new method named particle swarm optimization (PSO) has been proposed by Kennedy and Eberhart and it can accomplish the same goal as GA in a new and faster way. This paper proposes a new binary algorithm, which derives from conventional PSO conception and named BEP algorithm. Then applying the BEP and binary PSO (BPSO) to solve the multiuser detection problems in the CDMA system. The simulation results proved that BEP detector (BEPD) and BPSO detector (BPSOD) have better capability against error bit and converge more quickly than conventional detector (CD) and GA detector (GAD).