TENSOR-BASED ORTHOGONAL MATCHING PURSUIT WITH PHASE ROTATION FOR CHANNEL ESTIMATION IN HYBRID BEAMFORMING MIMO-OFDM SYSTEMS

Cheng Hung Lo, Pei Yun Tsai

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

Tensor decomposition is often employed for channel estimation in hybrid beamforming MIMO-OFDM systems because of multiple dimensions and channel sparsity. We propose to incorporate phase rotation in factor matrices of tensor-based orthogonal matching pursuit (T-OMP) algorithm to solve the energy leakage problem caused by the grid constraint. The phase rotation can be applied in all the dimensions of virtual channel tensor including angle of arrival (AoA), angle of departure (AoD), and delay for grid refinement. Consequently, fewer iterations are required to estimate the sparse coefficients in the core tensor. In addition, the tensor fusion technique is also proposed to further improve the performance. With the grid refinement, the number of required coefficients in the core tensor is reduced and close to the number of paths. Hence, compared to the conventional T-OMP algorithms, less computation complexity is needed while better performance can be achieved.

原文???core.languages.en_GB???
主出版物標題2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面6057-6061
頁數5
ISBN(電子)9781665405409
DOIs
出版狀態已出版 - 2022
事件47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
持續時間: 23 5月 202227 5月 2022

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2022-May
ISSN(列印)1520-6149

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???event.eventtypes.event.conference???47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
國家/地區Singapore
城市Virtual, Online
期間23/05/2227/05/22

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