基于压缩感知的正交频分复用信道估计方法

摘要

The traditional channel estimation methods do not make full use of the sparsity of the channel. Exploiting the spar-sity 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.%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.