Shen, Q., Cui, W., Liu, W. orcid.org/0000-0003-2968-2888 et al. (3 more authors) (2017) Underdetermined Wideband DOA Estimation of Off-Grid Sources Employing the Difference Co-Array Concept. Signal Processing, 130. pp. 299-304. ISSN 1872-7557
Abstract
A wideband off-grid model is proposed to represent dictionary mismatch under the compressive sensing framework exploiting difference co-arrays. A group sparsity based off-grid method is proposed for underdetermined wideband direction of arrival (DOA) estimation which provides improved performance over the existing group sparsity based method with a same search grid. A two-step approach is then proposed which achieves an even better performance with significantly reduced computational complexity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Elsevier. This is an author produced version of a paper subsequently published in Signal Processing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | Off-Grid; difference co-array; group sparsity; DOA estimation; compressive sensing |
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Aug 2016 11:59 |
Last Modified: | 25 Jul 2017 17:21 |
Published Version: | http://dx.doi.org/10.1016/j.sigpro.2016.07.022 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.sigpro.2016.07.022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103036 |