基于信号子空间的半盲多用户检测  

Semi-blind Multi-user Detection Based on Signal Subspace

作　　者：孟艳[1] 汪晋宽[1] 宋昕[1] 朱俊[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110004

出　　处：《系统仿真学报》2007年第12期2805-2808,2812,共5页Journal of System Simulation

基　　金：博士学科点专项科研基金(20050145019)

摘　　要：将线性共轭的思想引入到基于子空间的半盲多用户检测,设计了基于子空间方法的线性共轭半盲多用户检测器,有效地改善了系统的输出信干比和误码率性能。PASTd算法由于复杂度低而被广泛的应用于多用户检测,然而,PASTd算法跟踪到的信号子空间不正交,从而导致收敛速度极慢。针对这一问题,对PASTd算法进行了改进,提出一种修正的PASTd算法,并将其应用于线性共轭半盲多用户检测器,从而有效的提高了收敛速度,降低了计算复杂度。仿真实验验证了该算法的有效性和可行性。A linear conjugate semi-blind multi-user detector based on the subspace method was designed by introducing the idea of the linear conjugate to the subspace-based semi-blind multi-user detection, which makes improvements in terms of signal-to-interference-ratio （SIR） and bit error rate （BER）. The PASTd a/gorithm with less computation complexity is widely used in the multi-user detection, however, and it can not guarantee the orthogonality of eigenvectors which induces the slow convergence rate. To overcome this problem, an improved PASTd subspace tracking algorithm was proposed, and was applied to the linear conjugate semi-blind multi-user detector for adaptive subspace estimation, which enhances the convergence rate and reduces calculation of the algorithm. Simulation results demonstrate the effectiveness and feasibility of the proposed algorithm.

关 键 词：子空间跟踪 半盲多用户检测 多载波CDMA 压缩预测逼近子空间跟踪算法 

分 类 号：TN911.7[电子电信—通信与信息系统]