FCFGS-CV-Based Channel Estimation for Wideband mmWave Massive MIMO Systems With Low-Resolution ADCs

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In this letter, the fully corrective forward greedy selection-cross validation-based (FCFGS-CV-based) channel estimator is proposed for wideband millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs). The sparse nature of the mmWave virtual channel in the angular and delay domains is exploited to convert the maximum a posteriori (MAP) channel estimation problem to an optimization problem with a concave objective function and sparsity constraint. The FCFGS algorithm, which is the generalized orthogonal matching pursuit (OMP) algorithm, is used to solve the sparsity-constrained optimization problem. Furthermore, the CV technique is adopted to determine the proper termination condition by detecting overfitting when the sparsity level is unknown.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2019-12
Language
English
Article Type
Article
Citation

IEEE WIRELESS COMMUNICATIONS LETTERS, v.8, no.6, pp.1648 - 1652

ISSN
2162-2337
DOI
10.1109/LWC.2019.2933624
URI
http://hdl.handle.net/10203/272134
Appears in Collection
EE-Journal Papers(저널논문)
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