基于阵列天线与鲁棒卡尔曼滤波的盲空时多用户检测  

Blind Multiuser Detection Based on Robust Kalman Filtering Using Antenna Array

作　　者：陈昕[1] 

机构地区：[1]装甲兵工程学院控制工程系,北京100072

出　　处：《无线互联科技》2015年第15期1-3,共3页Wireless Internet Technology

摘　　要：文章提出了一种基于鲁棒卡尔曼滤波算法的盲空时多用户检测方法,该自适应算法有效地结合了阵列天线与多用户检测,不需要发送训练序列。标准卡尔曼滤波要求系统模型精确,若出现误差会影响滤波精度。经附加带未知时变特性的噪声来补偿模型误差,即鲁棒卡尔曼滤波的虚拟噪声补偿技术,更好地适应带未知模型误差的系统,提高滤波精度。在DS-CDMA系统中单输入多输出(SIMO)多径衰落信道下,仿真结果表明该方法收敛速度快,跟踪能力强,鲁棒性好,具有很强的抗多径和多址干扰能力。A blind space-time multiuser detection algorithm based on robust Kalman filtering is proposed. It combined the antenna arrays and multiuser detection, and it does not require training data sequences. Standard Kalman ifltering requires precise system model, and it can reduce iflter precision if error occurs. Robust Kalman ifltering introduces ifctitious noise with unkown time-varying statistic to compensate model error, and it can adapt to the system with unkown model error greatly, so the iflter performance is improved. In SIMO multipath fading channels for DS-CDMA, simulation results show the detection algorithm can achieve better performance, such as fast convergence, excellent tracking and strong robustness. The detector can suppress multipath interference and multiple-access interference effectively.

关 键 词：码分多址 多用户检测 卡尔曼滤波 鲁棒性 

分 类 号：TN929.5[电子电信—通信与信息系统] TN911.4[电子电信—信息与通信工程]