基于自适应卡尔曼滤波的盲多用户检测器  

Blind Multi-user Detector Based on Adaptive Kalman Filter

作　　者：雷利华[1] 施浒立[1] 马冠一[1] 

机构地区：[1]中科院国家天文台

出　　处：《宇航学报》2009年第3期1141-1145,共5页Journal of Astronautics

基　　金：国家重点基础研究发展计划973项目(2007CB815500);国家863项目(2007AA12z343)

摘　　要：盲多用户检测算法广泛应用于码分多址(Code-Division Multiple-Access,CDMA)系统中,能够有效克服多址干扰(Multiple Access Interference,MAI)与"远-近"效应(Near-Far effect)的影响,是CDMA技术中的研究热点。对基于卡尔曼(Kalman)滤波算法的盲多用户检测器进行了研究,在白高斯噪声信道与平坦瑞利衰落信道环境下仿真分析了多址干扰与"远-近"效应对系统性能的影响。仿真实验表明,基于Kalman滤波的盲多用户检测器在两种信道中误码率性能均优于基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的盲多用户检测器,可以有效抵抗多址干扰与"远-近"效应的影响,对提高CDMA系统容量具有十分重要的应用价值。Blind multi-user detection methods in Code-Division Multiple-Access （CDMA） system are used to eliminate the Multiple Access Interference （MAI） and the Near-Far effect. A kind of blind multi-user detector based on Kalman Filter algorithm is analyzed in this paper. The impact of MAI and Near-Far effect on system performance is analyzed and compared with the detector based on Least Mean Squares （LMS） algorithm and Recursive Least Squares （RLS） algorithm in White Gaussian Noise channel and flat Rayleigh fading channel. Simulation results show that the Kalman Filter algorithm outperforms LMS and RLS algorithm under both channels. Multiple Access Interference and Near-Far effect can be eliminated effectively and the capability of CDMA sys- tem can be increased.

关 键 词：盲多用户检测 码分多址 多址干扰 “远-近”效应 卡尔曼滤波 

分 类 号：TN914.53[电子电信—通信与信息系统]