基于压缩感知的正交频分复用信道估计方法  

The OFDM channel estimation based on compressive sensing

作　　者：李世平[1] 李鑫[1] 郑文彬[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《电子技术应用》2012年第8期106-108,115,共4页Application of Electronic Technique

摘　　要：传统的信道估计方法未充分利用信道的稀疏性。利用信道冲激响应的稀疏特性,提出了将FOCUSS(Focal Underdetermined System Solver)压缩感知算法应用到信道估计中,从均方误差和正确检测率方面分别与传统最小二乘估计和正交匹配追踪压缩感知信道估计相比较。仿真结果表明,本文算法的均方误差较小,正确检测率较高,能够以较少的导频信号获得好的估计性能。The traditional channel estimation methods do not make full use of the sparsity of the channel. Exploiting the sparsity of channel impulse response, the FOCUSS （Focal Underdetermined System Solver）algorithm is used in the channel estimation. Compared with the traditional least squares and orthogonal matching pursuit algorithm in the aspect of mean square error and correct detection rate, the simulation results show that the algorithm has smaller mean square error and higher correct detection rate, and can gain good performance but with less pilots.

关 键 词：正交频分复用 压缩感知 FOCUSS 正交匹配追踪 信道估计 

分 类 号：TN92[电子电信—通信与信息系统]