一种基于矩阵外积分解的信道盲辨识与盲均衡算法  

A Blind Channel Identification and Equalization Algorithm Based on Matrix Outer-Product Decomposition Algorithm

作　　者：王彬[1] 葛临东[1] 刘媛涛[1] 

机构地区：[1]解放军信息工程大学信息工程学院,河南郑州450002

出　　处：《信号处理》2008年第5期839-844,共6页Journal of Signal Processing

基　　金：部级预研项目(6130320)

摘　　要：本文提出了一种鲁棒性较好的信道盲辨识和盲均衡算法。在仅需知道信道阶数上界的条件下,首先采用改进的信道阶数估计算法对信道阶数进行精确估计,与现有算法相比,所需信噪比降低、对信道的适应性提高;然后,在矩阵外积分解算法的基础上,加入特征值扰动分析,提高了信道盲辨识和盲均衡性能。仿真结果证明了算法的有效性。This paper proposes a robust blind channel identification and equalization algorithm. The channel order is estimated exactly first by the improved estimation method on the condition that the channel order upper bounder is known, compared with the existing methods, which works well on lower SNR in more channels. Then, the eigenvalue perturbation analysis is been done on the basis of matrix outer-product decomposition to get the more superior performance of channel blind identification and equalization. Simulation results prove the efficiency of the new identification algorithm.

关 键 词：盲辨识 盲均衡 矩阵外积分解 信道阶数估计 扰动 

分 类 号：TN914.53[电子电信—通信与信息系统] TP301.6[电子电信—信息与通信工程]