Hybrid-Field Channel Estimation on Ultra-Large MIMO in Complex Communication Scenarios on Plateau
That the plateau area surrounded by heavy mountains with poor communication conditionsresults in a de-crease of the capacity of the communication system.To address this issue,the ultra-large-scale antenna array at the base station end,known as Extra-Large Multiple-Input Multiple-Output(XL-MIMO)technology is deployed,so as to improve the throughput rate of the communication system.To maintain the XL-MIMO system capacity,it is essential to obtain accurate channel state information.With an increasing number of base station antennas,the pilot overhead will be higher in the channel estimation process,which will reduce the communication efficiency.However,in XL-MIMO systems,the channel has the characteristics of sparseness,so this paper proposes an OMP(Orthogonal Match-ing Pursuit)compressive sensing algorithm based on the Woodbury transform to estimate the channel so as toreduce the pilot overhead.Specifically,the traditional OMP algorithm has the operation of matrix inversion,and then the ma-trix inversion operation is transformed into another step of inversion based on the Woodbury transform,and the effec-tiveness of the proposed algorithm is verified by simulation without loss of performance compared with the tradition-al OMP algorithm.
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