Liu, W. orcid.org/0000-0003-2968-2888, Haardt, M. orcid.org/0000-0001-7810-975X, Greco, M.S. et al. (2 more authors) (2023) Twenty-five years of sensor array and multichannel signal processing: a review of progress to date and potential research directions. IEEE Signal Processing Magazine, 40 (4). pp. 80-91. ISSN 1053-5888
Abstract
In this article, a general introduction to the area of sensor array and multichannel signal processing is provided, including associated activities of the IEEE Signal Processing Society (SPS) Sensor Array and Multichannel (SAM) Technical Committee (TC). The main technological advances in five SAM subareas made in the past 25 years are then presented in detail, including beamforming, direction-of-arrival (DOA) estimation, sensor location optimization, target/source localization based on sensor arrays, and multiple-input multiple-output (MIMO) arrays. Six recent developments are also provided at the end to indicate possible promising directions for future SAM research, which are graph signal processing (GSP) for sensor networks; tensor-based array signal processing, quaternion-valued array signal processing, 1-bit and noncoherent sensor array signal processing, machine learning and artificial intelligence (AI) for sensor arrays; and array signal processing for next-generation communication systems.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Signal Processing Magazine is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Location awareness; Array signal processing; Machine learning; Parallel processing; MIMO; IEEE activities; Optimization |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/V009419/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Jun 2023 15:43 |
Last Modified: | 04 Sep 2023 13:02 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/msp.2023.3258060 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:200461 |