动态环境下基于粒子群算法的多用户检测器  

Multiuser detection in dynamic environment based on particle swarm optimization algorithm

作　　者：赵彦杰[1] 唐普英[1] 

机构地区：[1]电子科技大学光电信息学院,成都610054

出　　处：《计算机工程与应用》2010年第8期141-143,共3页Computer Engineering and Applications

摘　　要：在动态环境下,在线用户数和用户的参数都是随时间变化的。研究表明,在动态环境下首先识别在线用户,然后进行多用户检测,会极大地提高多用户检测器的性能和节省资源。基于随机集理论(Random Set Theory,RST)理论,应用一种群智能算法——粒子群算法(Particle Swarm Optimization,PSO)提出了动态环境下的多用户检测器。仿真结果表明该检测器收敛速度快、适应性较强,有效地解决了动态环境下多用户检测。In Dynamic Environment （DE）,the number of active users,their locations,as well as the parameters that characterize their channel states,vary with time.Proved by several authors,identifying active users and using this information will cause significant performance improvement of Muhiuser Detection （MUD）.By using the Random Set Theory （RST）,a MUD in DE based on Particle Swarm Optimization （PSO） is presented.Simulation results show that the detector has good performance on optimization and efficient adaptability.

关 键 词：动态环境 随机集 粒子群算法 贝叶斯递推 

分 类 号：TN911[电子电信—通信与信息系统]