%0 Journal Article
%A JI Xiaohui
%A SUN Zeyu
%A YAN Ben
%A LI Chuanfeng
%T High-Order MIMO Systems Channel Estimation Algorithms Based on Compressive Sensing
%D 2019
%R 10.3778/j.issn.1002-8331.1906-0176
%J Computer Engineering and Applications
%P 153-159
%V 55
%N 19
%X Large number of antennas in the communication network, it is difficult to complete the effective calculation and evaluation of the channel. High-order MIMO systems Channel Estimation algorithms based on Compressive Sensing（HMCE-CS） is proposed. Firstly, a simple pilot structure is designed to reduce computational complexity. Secondly, the length of the pilot sequence can be adaptively adjusted according to the variation of the channel sparsity, thereby saving the overhead of the pilot resources. Simulation experiments show that compared with the traditional channel estimation algorithm, the HMCE-CS algorithm can reduce the average pilot sequence length under the same channel estimation accuracy, or the HMCE-CS algorithm can be improved under the same pilot sequence length. The channel estimation accuracy verifies the effectiveness of the proposed algorithm.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1906-0176