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基于克隆选择粒子群算法的多用户检测 被引量：1

Multi-User Detection Based on Clone Selection Particle Swarm Optimization
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摘要 对离散粒子群优化算法(DPSO)进行了改进,提出一种克隆选择粒子群算法(CSDPSO)。该算法提高了离散粒子群优化算法的局部搜索能力,保持了很强的全局搜索能力。本文将该算法应用到多用户检测中,用以解决Verdu提出的最优多用户检测所存在的计算量过大无法工程实现的问题。仿真证明,该算法比标准的离散粒子群算法具有更好的搜索能力。基于该算法的多用户检测器比基于DPS0的多用户检测器,无论在误码率性能还是收敛速度方面都有明显改善。 The discrete particle swarm optimization algorithm is improved and a clone selection particle swarm optimization algorithm is proposed. The algorithm can strengthen the local searching abilities of the discrete particle swarm optimization algorithm and maintain excellent global searching abilities. The algorithm is applied to multi-user detection to solve the problem of high computational complexity in the multi-user detector proposed by Verdu. The simulation shows that the algorithm has better searching abilities and the multi-user detector based on the algorithm is superior to the detector based on DPSO on bit error rate and convergence speed.
作者 陈永强 杨明欣 刘俊
机构地区 成都信息工程学院电子基础教学实验中心
出处 《数据采集与处理》 CSCD 北大核心 2006年第B12期93-96,共4页 Journal of Data Acquisition and Processing
关键词 克隆选择原理 多用户检测 离散粒子群优化算法 码分多址 clone selection principle multi-user detection discrete particle swarm optimization code division multiple access
分类号 TN911.23 [电子电信—通信与信息系统]
  • 相关文献

参考文献8

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二级参考文献15

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共引文献45

同被引文献14

  • 1李本威,张赟,孙涛.基于免疫粒子群算法的滑油屑末支持向量机预测模型设计[J].航空动力学报,2009,24(7):1639-1643. 被引量：15
  • 2杨欣毅,沈伟,刘海峰,董可海.一种应用滑动最小二乘求取压气机特性的方法[J].航空动力学报,2009,24(8):1741-1746. 被引量：16
  • 3吴虎,肖洪,蒋建军.涡扇发动机部件特性自适应模拟[J].推进技术,2005,26(5):430-433. 被引量：19
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引证文献1

二级引证文献3

数据采集与处理
2006年 第B12期

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