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

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.