DocumentCode :
3295184
Title :
Multiuser detector based on particle swarm algorithm
Author :
Lu, Zhmsu ; Yan, Shi
Author_Institution :
Coll. of Inf. Sci. & Eng., Lanzhou Univ., China
Volume :
2
fYear :
2004
fDate :
31 May-2 June 2004
Firstpage :
783
Abstract :
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).
Keywords :
AWGN channels; code division multiple access; genetic algorithms; multiuser detection; spread spectrum communication; BEP algorithm; BEP detector; BEPD; BPSO detector; BPSOD; CDMA system; GA; PSO; binary algorithm; binary evolution programming; code division multiple access; genetic algorithms; multidimensional engineering problems; multiuser detection problem; particle swarm optimization; AWGN; Additive white noise; Computational complexity; Gas detectors; Multiaccess communication; Multiple access interference; Multiuser detection; Optimization methods; Particle swarm optimization; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
Type :
conf
DOI :
10.1109/CASSET.2004.1322006
Filename :
1322006
Link To Document :
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