Maximum Likelihood Channel Estimation for Millimeter-Wave MIMO Systems with Hybrid Beamforming

Conference: WSA 2019 - 23rd International ITG Workshop on Smart Antennas
04/24/2019 - 04/26/2019 at Vienna, Austria

Proceedings: ITG-Fb. 286: WSA 2019

Pages: 6Language: englishTyp: PDF

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Asim, Fazal-E.; Cavalcante, Charles Casimiro; Almeida, Andre L. F. de (Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza, Brazil)
Nossek, Josef (Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza, Brazil & Department of Electrical and Computer Engineering, Technical University of Munich, Germany)
Antreich, Felix (Department of Telecommunications, Instituto Tecnologico de Aeronautica (ITA), Brazil)

In a millimeter-wave massive multiple-input multiple-output system, the accurate estimation of the angle of departure is crucial to benefit from a high array gain. In this paper, a novel algorithm is proposed for the maximum likelihood estimation of angles of departure in the multiuser downlink scenario. The proposed approach is based on discrete Fourier transform beamforming vectors to estimate the angle of departure. The discrete Fourier transform matrix can efficiently be implemented in the analog domain by a so-called Butler matrix. Finally, we derived the Cram´er-Rao lower bound to assess the performance of our proposed algorithm.