一种基于自适应滤波的信道估计优化方法  

A Optimization Method of Channel Estimation based on Adaptive Filtering

作　　者：陈国军[1] 巴斌[1] 胡捍英[1] 周游[1] 

机构地区：[1]解放军信息工程大学信息系统工程学院,河南郑州450052

出　　处：《通信技术》2013年第6期5-8,共4页Communications Technology

摘　　要：为了解决无线移动通信MIMO-OFDM系统中导频辅助信道估计方法所存在的估计精度问题,提出了一种基于改进LMS算法的自适应滤波优化方法。首先使用LS算法对信道进行初始估计,然后利用估计结果恢复出原始发送数据,最后通过自适应滤波的方式对信道估计结果进行重新优化得到新的信道估计矩阵,可以获得更优的估计性能。仿真结果表明,提出的改进LMS算法相比于基本LMS算法具有更快的收敛速度和更好的稳态性能,自适应滤波优化后信道估计性能得到很大提高。To improve the estimation precision of pilot-symbol-aided channel estimator in wireless mobile communication MIMO-OFDM system, an optimization method based on LMS adaptive filtering algorithm is proposed. With LS algorithm, this method first makes an initial channel estimation, and then with the estimation result, restores the original data. And finally with adaptive filtering, the channel estimation result is re-optimized, thus to acquire a new channel estimation matrix and obtain an even better estimation performance. Simulation results show that the this modified algorithm has faster convergence speed and better stationary performance than LMS algorithm, and that the channel estimation performance is greatly improved.

关 键 词：多输入多输出 正交频分复用 信道估计 最小均方算法 

分 类 号：TN911.23[电子电信—通信与信息系统]