基于加权递归最小二乘的MIMO系统信道估计

Channel Estimation for MIMO System Based on Weighted Recursive Least Square

文章针对多输入多输出(multiple-input multiple-output,MIMO)系统的信道呈现的稀疏特性,提出了一种基于加权递归最小二乘(weighted recursive least square,WRLS)的MIMO系统信道估计方法,在标准递归最小二乘算法的基础上,根据信道中的稀疏结构信息为每个抽头分配一个具有自适应变化特性的独立更新权重。仿真实验验证了该方法适用于非高斯噪声环境下的信道估计,在加快收敛速度的同时,也提高了信道估计的精度。

Focused on sparse characteristics of the multiple-input multiple-output(MIMO) system, this paper proposes a channel estimation method for MIMO system based on weighted recursive least square(WRLS)algorithm. On the basis of standard recursive least-squares algorithm, an independent updated weight with adaptive changing characteristics is assigned to each tap. Simulations verifies that the method is suitable for channel estimation in non-Gaussian noise environment, which improves not only the convergence speed, but also the estimation accuracy.