衰落信道下自适应卡尔曼异步IC多用户检测器  

Adaptive Kalman Asynchronous IC Multi-user Detector for Fading Channel

作　　者：高维廷[1] 李辉[1] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710129

出　　处：《东北大学学报（自然科学版）》2014年第7期949-954,共6页Journal of Northeastern University(Natural Science)

基　　金：国家自然科学基金资助项目(61171155);陕西省自然科学基金资助项目(2012JM8010);西北工业大学博士论文创新基金资助项目(CX201215)

摘　　要：针对单一串行干扰消除(SIC)算法与并行干扰消除(PIC)算法在进行多用户检测(MUD)时的判决误差扩散问题,研究了强多址干扰(MAI)情况下直接序列扩频码分多址(direct sequence spread spectrum code division multiple access,DS-CDMA)系统中的干扰消除多用户检测算法.结合自适应卡尔曼算法提出了一种适于衰落信道的级联结构K-AIC多用户检测算法.所提算法实现了对时变多径衰落信道的全面跟踪,能够在干扰消除检测过程中避免判决误差扩散,达到抑制MAI的目的.仿真结果表明,所提算法具有更好的收敛性、动态跟踪能力及算法精度,是一种有效的干扰消除多用户检测算法.In order to solve the problem of multi-user detection（MUD） judgment error diffusion of single successive interference cancellation（SIC） and parallel interference cancellation（PIC）algorithm,the interference cancellation algorithm of direct sequence spread spectrum code division multiple access（DS-CDMA） system was studied under condition of strong multiple access interference（MAI）.A K-AIC cascade structure algorithm which combined with adaptive Kalman algorithm was proposed for the fading channel.The time-varying channel could be fully tracked by the proposed algorithm,and the detection error diffusion in detection process was able to be avoided.In addition,the purpose of MAI suppression was achieved.Simulation results showed that the proposed algorithm is of better convergence,dynamic tracking ability and algorithm precision,therefore,it is an effective interference cancellation MUD algorithm.

关 键 词：码分多址 串行干扰消除 并行干扰消除 多用户检测 卡尔曼滤波 多址干扰 

分 类 号：TN911.4[电子电信—通信与信息系统]