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Design of Channel Estimation for Hybrid Beamforming Millimeter-Wave Systems in the Presence of Beam Squint

Authors
Noh, SongLee, JaekooYu, HeejungSong, Jiho
Issue Date
Jun-2022
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Channel estimation; Training; Array signal processing; Antennas; Delays; Resource management; Frequency division multiplexing; Beam squint; channel estimation; hybrid beamforming; massive multiple-input multiple-output (MIMO); millimeter wave (mmWave)
Citation
IEEE SYSTEMS JOURNAL, v.16, no.2, pp.2834 - 2843
Indexed
SCIE
SCOPUS
Journal Title
IEEE SYSTEMS JOURNAL
Volume
16
Number
2
Start Page
2834
End Page
2843
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/142334
DOI
10.1109/JSYST.2021.3079924
ISSN
1932-8184
Abstract
In this article, channel estimation for millimeter-wave massive multiple-input-multiple-output (MIMO) systems with hybrid beamforming is considered. With a large number of antenna elements, a progressive time delay across antenna elements incurs a change in the beam direction as a function of subcarriers in an orthogonal frequency-division multiplexing system. Considering the difference in delay across the entire array, a new channel estimation framework is proposed by using a maximum likelihood criterion as a function of the analog training beam and pilot subcarrier assignment. The resulting design achieves asymptotic orthogonality among the channel paths and minimizes the mean squared error. An extension of the proposed design to a uniform planar array is discussed. The Cramer-Rao lower bound for joint channel estimation with hybrid beamforming is derived to verify the effectiveness of the proposed design.
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