Multiuser Detector Based on Evolutionary Algorithm

Yan Shi; Lü Zhen-su

Volume 28 Issue 2

Aug. 2010

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Yan Shi, Lü Zhen-su. Multiuser Detector Based on Evolutionary Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 223-227.

Citation:

Yan Shi, Lü Zhen-su. Multiuser Detector Based on Evolutionary Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 223-227.

Yan Shi, Lü Zhen-su. Multiuser Detector Based on Evolutionary Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 223-227.

Citation:

Yan Shi, Lü Zhen-su. Multiuser Detector Based on Evolutionary Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(2): 223-227.

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Multiuser Detector Based on Evolutionary Algorithm

Received Date: 2004-07-15
Rev Recd Date: 2005-01-24
Publish Date: 2006-02-19

Abstract

Abstract

A new method named Particle Swarm Optimization (PSO) has been proposed by Kennedy and Eberhart (1995) and it can accomplish the same goal as GA in a new and faster way. In this paper a new binary algorithm, which derives from conventional PSO conception and named BEP algorithm, has been proposed. Then the BEP and Binary PSO (BPSO) have been applied 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).

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References(1)

References

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