Research on sparse channel estimation algorithm based on MIMO OFDM system

Abstract

In the application of MIMO OFDM system, the traditional pilot-assisted channel estimation algorithm, such as LS, MMSE algorithm, does not take advantage of the characteristics of channel sparsity, which results in the reduction of spectrum utilization due to the use of a large number of pilots. Under the premise of compressed sensing, this paper uses channel sparsity to study the AMP channel estimation algorithm based on MIMO OFDM system, and introduces the principles and steps of the AMP algorithm in detail. Through theoretical analysis and simulation, it is shown that the AMP channel estimation algorithm proposed in this paper has a significant improvement in spectrum utilization and estimation performance compared with the traditional method, which is more effective and greatly reduces the calculation time.