%0 Journal Article
%T Multiuser Detector Based on Evolutionary Algorithm<br>基于进化算法的多用户检测器
%A Yan Shi
%A Lü
%A Zhen-su
%A <br>阎 石
%A 吕振肃
%J 电子与信息学报
%D 2006
%I 
%X 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).
%K MUD
%K Genetic algorithm
%K Evolution programming
%K Particle swarm optimization<br>多用户检测
%K 遗传算法
%K 进化规则
%K 粒子群优化算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=2A26D336BCBDA3AB&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=0B39A22176CE99FB&sid=E089FDF3CDAE8561&eid=0DEB7A8A66C33AAD&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=3&reference_num=10