一种有效降低复杂度的2×1D维纳滤波信道估计方法  

A Method for Efficiently Reducing the Complexity of 2×1D Wiener Filtering Channel Estimation

作　　者：芮赟[1] 李明齐[1] 张小东[1] 周秦英[1] 胡宏林[1] 

机构地区：[1]中国科学院上海微系统与信息技术研究所,上海200050

出　　处：《电讯技术》2008年第5期27-31,共5页Telecommunication Engineering

基　　金：国家高技术研究发展计划(863计划)项目(2006AA01Z280);上海市科委标准专项(07DZ05018)

摘　　要：在应用于正交频分复用(OFDM)系统的信道估计方法中,维纳滤波是一种估计性能较好的算法,但该方法实现时,需估计噪声方差和多普勒频率,并根据估计的这两个关键参量进行实时相关矩阵的计算,复杂度较高。为此,提出了一种基于关键参量固定值的离线产生相关矩阵来简化维纳滤波信道估计方法。仿真结果表明本方法在性能损失不大的情况下,大大地降低了实现复杂度。Although Wiener filtering has better performance in OFDM channel estimation, it is difficult to implement, because some key parameters, such as Doppler frequency and noise variance should be estimated for real - time correlation matrix calculation. This paper presents a simplified 2 × 1 Dimensional Wiener filter channel estimation method based on the correlation matrix generated offline with the critical parameter fixed. Simulation results show that this new method can reduce the complexity greatly, with a little loss in performance.

关 键 词：正交频分复用 信道估计 维纳滤波 

分 类 号：TN911.2[电子电信—通信与信息系统]