一种基于子空间的MIMO-OFDM信道盲估计算法  

A Subspace-based Blind Channel Estimation Algorithm for MIMO-OFDM Systems

作　　者：李欣欣[1] 李宏[1] 隋凯凯[1] 

机构地区：[1]西北工业大学电子信息学院,西安710129

出　　处：《计算机与数字工程》2013年第9期1448-1450,共3页Computer & Digital Engineering

基　　金：国家航空基金(编号:2010ZC53028)资助

摘　　要：论文主要讨论利用子空间算法对MIMO-OFDM信道进行盲估计。子空间算法是一种非常重要的信道估计算法,但该算法最大的缺点是要求精确估计信道阶数,对信道阶数欠估计或过估计非常敏感。针对这一点论文提出了一种联合子空间算法,该算法能够同时完成信道阶数估计和信道估计。仿真实验表明在低信噪比、观测数据较短和信道具有较小的初始和结尾系数等条件下时,该算法的信道阶数估计能力优于以前的算法,同时信道估计性能也得到较大的提高。Abstract A subspace-based blind channel estimation algorithm for MIMO-OFDM systems will be discussed in this paper. Subspace al gorithm is a important channel estimation algorithm, However, it suffers from the lack of robustness against channel order overestimation or underestimation, which requires an accurate estimation to channel order. For this reason we present a novel subspace algorithm for joint esti mation, which can estimate the channel order and channel matrix~ Simulation results show that the new algorithm has perfect performance for low SNRs and for short data. especially when channel impulse response has small head and tail taps. Channel estimation performance have also been improved greatly.

关 键 词：MIMO-OFDM 信道盲估计 子空间算法 阶数估计 

分 类 号：TN911.5[电子电信—通信与信息系统]