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。 In order to solve the problem of estimation accuracy of pilot-aided channel estimation in MIMO-OFDM system, an adaptive filtering optimization method based on improved LMS algorithm is proposed. Firstly, the LS algorithm is used to estimate the initial channel, and then the original transmission data is recovered by using the estimation result. Finally, the channel estimation result is re-optimized by adaptive filtering to obtain a new channel estimation matrix, and the better estimation performance can be obtained. The simulation results show that the proposed improved LMS algorithm has faster convergence speed and better steady-state performance than the basic LMS algorithm, and the performance of adaptive channel estimation after channel optimization is greatly improved.