基于克隆选择粒子群算法的多用户检测  

Multi-User Detection Based on Clone Selection Particle Swarm Optimization

作　　者：陈永强[1] 杨明欣[1] 刘俊[1] 

机构地区：[1]成都信息工程学院电子基础教学实验中心,成都610225

出　　处：《数据采集与处理》2006年第B12期93-96,共4页Journal of Data Acquisition and Processing

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.

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 

分 类 号：TN911.23[电子电信—通信与信息系统]