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基于進(jìn)化算法的多用戶檢測器

閻石,  呂振肅

閻石, 呂振肅. 基于進(jìn)化算法的多用戶檢測器[J]. 電子與信息學(xué)報(bào), 2006, 28(2): 223-227.
引用本文: 閻石, 呂振肅. 基于進(jìn)化算法的多用戶檢測器[J]. 電子與信息學(xué)報(bào), 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.

基于進(jìn)化算法的多用戶檢測器

Multiuser Detector Based on Evolutionary Algorithm

  • 摘要: 粒子群算法PSO遺傳算法(Particle Swarm Optimization)是由Kennedy和Eberhart于1995年提出的一種新的進(jìn)化算法，PSO能夠以一種更簡便、快速的方式來完成和遺傳算法(GA)一樣的功能。本文在PSO算法思想的基礎(chǔ)上提出了兩種新的多用戶檢測算法： BEP(Binary Evolution Programming)算法， BPSO(Binary PSO，BPSO)算法。分別基于這兩種算法構(gòu)造了新的多用戶檢測器。仿真結(jié)果表明，這兩種新的多用戶檢測器的抗誤碼性能比傳統(tǒng)多用戶檢測器和基于遺傳算法的多用戶檢測器都好，并且新的檢測器的收斂速度明顯比遺傳算法檢測器快。
    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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  • Verdu S. Minimum probability of error for asychronous Gaussian multiple-access channels[J].IEEE Trans. on Info. Theory.1986, 32(1):85-[2]Verdu S. Optimum multi-user asymptotic efficiency. IEEE Trans. on Commun. ,1986, 34(9)：890897. .[3]Lupas R, Verdu S. Linear multiuser detectors for code-division multiple-access channel[J].IEEE Trans. on Info. Theory.1989, 35(1):123-[4]Madhow U, Michael L. MMSE interference suppression for direct-sequence spread-spectrum CDMA. TEEE Trans. on Commun., 1994, 42(12): 31783188. .[5]張賢達(dá). 通信信號處理. 北京:國防工業(yè)出版社, 2000:445454. .[6]楊淑媛, 焦李成, 劉芳. 一種免疫徑向基網(wǎng)絡(luò)多用戶檢測方法.西安電子科技大學(xué)學(xué)報(bào), 2004, 31(2): 209213. .[7]Buthainah, S. Multi-phase particle swarm optimization Dissertation Abstracts International, 2002, 63(3), Section: B, page: 1420.[8]Kennedy J, Eberhart R C. Particle swarm optimization. In IEEEInternational Conference on Neural Networks, Perth, WesternAustralia, 1995: 1942.1948.[9]Kennedy J, Eberhart R C. A discrete binary version of the particles swarm algorithm. In International Conference on Systems, Orlando, USA, 1997: 41044108.
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出版歷程
  • 收稿日期:  2004-07-15
  • 修回日期:  2005-01-24
  • 刊出日期:  2006-02-19

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