Wan, Z. and Liu, W. orcid.org/0000-0003-2968-2888 (2022) Time-domain wideband DOA estimation under the convolutional sparse coding framework. IEEE Signal Processing Letters, 29. pp. 274-278. ISSN 1070-9908
Abstract
The wideband direction of arrival (DOA) estimation problem can be formulated into a narrowband form by applying discrete Fourier Transform (DFT) to sensor measurements; however, a large number of temporal snapshots are required in order to meet the narrowband assumption in the frequency-domain. To reduce the number of snapshots required, a convolutional sparse coding (CSC) based wideband signal model is proposed for direct time-domain DOA estimation, and a group sparsity based minimization problem is formulated. Simulation results indicate that the proposed time-domain CSC (TD-CSC) based method has a better performance than the frequency-domain method, but with a higher computational complexity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | wideband array; DOA estimation; convolutional sparse coding; time domain |
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/T517215/1 ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/V009419/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Dec 2021 09:47 |
Last Modified: | 13 Dec 2022 01:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/lsp.2021.3134554 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:181568 |