Channel Estimation using Block Sparse Joint Orthogonal Matching Pursuit in Massive MIMO Systems

The channel estimation of the muti-user massive MIMO systems is a crucial task which enables us to leverage their high degrees of freedom. Due to the large number of base station antennas and consequently the huge number of channel paths, the massive MIMO channel estimation becomes more challenging. In this paper, we suggest a sparsity-based algorithm to estimate the channels more efficiently. To this end, we would offer a problem modelling to exploit the spatial correlation among different antennas of the BS as well as the inter-user similarity of the channel supports. An iterative thresholding technique has been suggested to approximate the channel matrix. The simulation results confirm that the proposed method has outstanding performance compared to its counterparts.