分集接收的STBC-MC-CDMA系统中基于PSO算法的多用户检测

刘洪武; 冯全源

doi:10.3724/SP.J.1146.2007.01205

分集接收的STBC-MC-CDMA系统中基于PSO算法的多用户检测

doi: 10.3724/SP.J.1146.2007.01205

计量
- 文章访问数: 3432
- HTML全文浏览量: 84
- PDF下载量: 1007
- 被引次数: 0
出版历程
- 收稿日期: 2007-11-02
- 修回日期: 2008-04-28
- 刊出日期: 2009-01-19

Particle Swarm Optimization-Based and Receive-Diversity-Aided Multiuser Detection for STBC MC-CDMA Systems

摘要

摘要: 该文提出了一种使用多天线分集接收的空时分组码多载波码分多址(STBC-MC-CDMA)系统中基于粒子群优化(PSO)算法的多用户检测(MUD)方案。当采用多天线分集接收时，各个天线接收的信号经历了相互独立的衰落，导致不同天线分支对应的匹配度函数相互独立。为解决多天线分集接收的多目标优化问题，提出了虚拟Pareto前端的概念，并使粒子按照Pareto优化准则进行速度和位置更新。仿真结果表明，所提方案获得了增强的开发和探索能力，其性能优于常规PSO算法和多目标遗传算法。
- 空时分组码;天线分集;多载波码分多址;粒子群优化算法;多用户检测
Abstract: A Particle Swarm Optimization (PSO) based Multiuser Detection (MUD) is proposed for the receive- diversity-aided and Space-Time Block Coded Multi-Carrier Code-Division Multiple-Access (STBC-MC-CDMA) systems. Due to the receive-diversity, the signals received at the different antennas are faded independently, resulting in an independent cost function for each antenna. To resolve the multi-objective dilemma when choosing one signal estimation for multiple receive antenna-branches, the virtual Pareto front is introduced, and each particle updates its velocity and position in a Pareto optimal way. Simulations show that the proposed scheme has the enhanced capabilities of exploration and exploitation and has better performance than the conventional PSO and multi-objective genetic algorithm.

HTML全文

参考文献(1)

Auffray J M and Helard J F. Performance of multicarrierCDMA technique combined with space-time block codingover Rayleigh channel [C]. IEEE Proc. of ISSSTA, Prague,Czech Republic, 2002, 2: 348-352.[2]Wei S, Li H, and Amin M. MMSE detection for space-timecoded MC-CDMA [C]. IEEE Proc. of ICC2003, Alaska, USA,2003, 5: 3452-3456.[3]曾雁星, 殷勤业, 张一闻等. 空时分组编码多载波码分多址系统的直接解码[J].电子与信息学报.2005, 27(8):1258-1263浏览[4]Verdu S. Minimum probability of error for asynchronuousGaussian multiple-access channels [J].IEEE Trans. onInform. Theory.1986, 32(1):85-96[5]Zhao Y and Zheng J L. Multiuser detection employingparticle swarm optimization in space-time CDMA systems[C].IEEE Proc. of ISCIT2005, Beijing, China, 2005, 2: 940-942.[6]Du Y and Chan K T. Feasibility of applying geneticalgorithms in space-time block coding multiuser detectionsystems [C]. Proc. of ICWOC, Banff, Alberta, Canada, 2003,3: 469-473.[7]Yen K and Hanzo L. Antenna-diversity-assisted geneticalgorithm-based multiuser detection schemes for synchronousCDMA systems [J].IEEE Trans. on Commun.2003, 51(3):366-370[8]Alamouti S M. A simple transmit diversity technique forwireless communications [J].IEEE J. Sel. Areas Commun.1998, 16(8):1451-1458[9]Zhao Y and Zheng J. Particle swarm optimization algorithmin signal detection and blind extraction [C]. IEEE Proc. of7th ISPAN, Hongkong, China, 2004, 1: 37-41.[10]Zitzler E and Thiele L. Multiobjective evolutionaryalgorithms: A comparative case study and the strengthPareto approach [J].IEEE Trans. on Evol. Comput.1999,3(4):257-271

施引文献

资源附件(0)

访问统计