基于拟生态优化算法的CDMA多用户检测方法  

Research of Ecologic System Optimization Algorithms for Multi-user Detection in CDMA Communication Systems

作　　者：许耀华[1] 胡艳军[1] 

机构地区：[1]安徽大学电子科学与技术学院,合肥230039

出　　处：《电子与信息学报》2006年第11期2111-2115,共5页Journal of Electronics & Information Technology

基　　金：安徽省高校青年教师科研计划项目(2005jq1032zd)资助课题

摘　　要：拟生态优化算法是一类模拟自然生态系统运行机制,求解复杂优化问题的智能计算方法,其中的蚁群算法和粒子群算法是较新出现的两种具有不同特点的方法。该文研究基本蚁群算法和离散粒子群算法,并结合CDMA多用户检测问题,改变算法的搜索机制,提出两种CDMA多用户检测的方法。从理论分析以及实验仿真的角度对比两种方法,表明两种方法的计算复杂度低且可以得到较好误码率性能,同时又各有特点。An ecologic system optimization algorithm is a type of new developed evolutionary algorithm, which is based on swarm intelligence, and has the properties of converge quickly, simple rules. This paper research the ant colony optimization algorithm and the particle swarm optimization on discrete space, and describe two algorithms for the multi-user detection problem in Code Division Multiple Access（CDMA） communication system. The approach using some new methods to improve the search quality and efficiency, analyses and simulation results show the approach has low computational complexity, and the BER property of the algorithm is better than the conventional detector, to find a new method to solve the problem of MUD in CDMA.

关 键 词：码分多址 多用户检测 拟生态系统优化算法 蚁群优化算法 粒子群优化算法 

分 类 号：TN914.5[电子电信—通信与信息系统] TN911.23[电子电信—信息与通信工程]