Title :
A low complexity channel estimation algorithm for massive MIMO system
Author :
Jianchao Xie; Lihua Yang; Shixiang Shao
Author_Institution :
School of Telecommunication and Information Engineering, Nanjing University of Posts and Telecommunications, China
Abstract :
An improved minimum mean square error (MMSE) channel method with low complexity is proposed for the massive multiple input multiple output (MIMO) system. In the method, the covariance matrix in the MMSE method is firstly approximately estimated by the received signal, where the optimal approximated weight is given, and then the Sherman-Morrison theorem is employed to transform the matrix inversion into the product of the matrix and vector. The simulation results show that the proposed method can greatly reduce the computational complexity of the MMSE method and only has a little performance loss. Moreover, compared with the available methods, the proposed method has a better performance and lower complexity.
Keywords :
"Covariance matrices","Complexity theory","MIMO","Channel estimation","Estimation","Antennas","Mean square error methods"
Conference_Titel :
Communications and Networking in China (ChinaCom), 2015 10th International Conference on
DOI :
10.1109/CHINACOM.2015.7498028