基于共轭梯度法的低复杂度信道估计  

Low-Complexity Channel Estimation based on Conjugate Gradient

作　　者：李臣阳[1] 高向川[1] 张卫党[1] 

机构地区：[1]郑州大学信息工程学院,河南郑州450001

出　　处：《通信技术》2015年第11期1213-1216,共4页Communications Technology

基　　金：国家自然科学基金(No.U1204607)~~

摘　　要：考虑在大规模MIMO系统中基于导频的信道估计,基站端配置有数百根天线,传统的MMSE估计器虽然在估计精度上有着良好的性能,但是由于在利用MMSE方法进行信道估计时,存在对协方差矩阵求逆的运算,导致其计算复杂度为O(M)3,其中M为信道协方差矩阵的维度。在基站天线数很大的时候,这将是一个极其复杂的过程。为解决这个问题,将通过将求逆过程转化为解线性方程组的问题,利用共轭梯度法,使整个计算过程的计算复杂度降为O(NM)2,其中N为共轭梯度法的迭代次数,而且N<<M。In consideration of pilot-based channel estimation in large-scale MIMO （ Multiple-Input Multi- ple-Output） communication systems ,hundreds of antennas are equipped at the base station. Conventional MMSE estimator enjoys good performance in the estimation accuracy, and however, when MMSE channel estimation method is used to implement estimation, the operation of covariance matrix inversion would result in computational complexity of O（M3 ） ,M meaning the dimension of channel covariance matrix,and when the base station is equipped with hundreds of antennas, this would be an extremely complex process. To solve this problem, the inversion process is transformed into solution of linear equations, thus the computa- tion complexity of the whole process is reduced to O（ NM2 ） through conjugate gradient method, N meaning the iterations number of conjugate gradient algorithm and N〈M.

关 键 词：信道估计 大规模MIMO 共轭梯度法 导频污染 

分 类 号：TN911[电子电信—通信与信息系统]