关键词: 多输入多输出, 压缩感知, 导频序列, 稀疏矩阵

Abstract: 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.

Key words: multiple input multiple output system, compressive sensing, pilot sequence, sparse matrix