Multiuser detector based on particle swarm algorithm

被引:17
作者
Lu, ZS [1 ]
Yan, S [1 ]
机构
[1] Lanzhou Univ, Coll Informat Sci & Engn, Lanzhou 730000, Peoples R China
来源
PROCEEDINGS OF THE IEEE 6TH CIRCUITS AND SYSTEMS SYMPOSIUM ON EMERGING TECHNOLOGIES: FRONTIERS OF MOBILE AND WIRELESS COMMUNICATION, VOLS 1 AND 2 | 2004年
关键词
multiuser detection; genetic algorithms; evolution programming; Particle Swarm Optimization;
D O I
10.1109/CASSET.2004.1322006
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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. In this paper, we propose a new binary algorithm, which derives from conventional PSO conception and named BEP Algorithm. Then we apply the BEP and Binary PSO (APSO) 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).
引用
收藏
页码:783 / 786
页数:4
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