Abstract:
Hybrid-field channel estimation for extremely large-scale massive MIMO (XL-MIMO) system is discussed in this letter. By exploiting the structural characteristics of far-f...Show MoreMetadata
Abstract:
Hybrid-field channel estimation for extremely large-scale massive MIMO (XL-MIMO) system is discussed in this letter. By exploiting the structural characteristics of far-field path components in the angle domain and the sparsity of near-field path components in the polar domain, a channel estimation algorithm combining support detection and orthogonal matching pursuit (SD-OMP) is proposed. Specifically, the supports of the far-field path components are firstly detected according to components structure characteristics of the angle domain in the XL-MIMO system and then can be used to obtain the far-field path components. Next, effect on the XL-MIMO system induced by far-field path components can be removed firstly and the OMP algorithm is employed to obtain the near-field path components by exploiting its polar domain sparsity. Finally, the hybrid-field channel is recovered by superposing the given far-field path components and near-field path components. Experiment results show that the proposed algorithm can accurately recover channel with relatively low pilot overhead and computation complexity comparing with some classical channel estimation algorithms.
Published in: IEEE Communications Letters ( Volume: 27, Issue: 1, January 2023)