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- W4200161937 abstract "In this paper, we present a new sparse channel estimation (CE) for phase-synchronized sub-6G Massive Multiple-Input Multiple-Output (MIMO) receivers. The algorithm employs an iterative search for propagation channel taps, spatial filtration, and denoising. For that, we split each channel tap signal into tap-aligned and orthogonal parts and train their weighting coefficients in non-line-of-sight channel realizations generated in the QuaDRiGa 2.0 software. Simulation results are presented and compared with the beamspace CE implemented by the digital transformation of the antenna signal to a priori selected subspace directed towards channel taps." @default.
- W4200161937 created "2021-12-31" @default.
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- W4200161937 date "2021-09-01" @default.
- W4200161937 modified "2023-10-14" @default.
- W4200161937 title "Spatial Denoising for Sparse Channel Estimation in Coherent Massive MIMO" @default.
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- W4200161937 doi "https://doi.org/10.1109/vtc2021-fall52928.2021.9625153" @default.
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