Focused Compressive Sensing for Underdetermined Wideband DOA Estimation Exploiting High-Order Difference Co-Arrays

Abstract

Group-sparsity-based method is applied to the 2q th-order difference coarray for underdetermined wideband direction of arrival (DOA) estimation. For complexity reduction, a focused compressive-sensing-based approach is proposed, without sacrificing its performance. Different from the conventional focusing approach, in the proposed one, focusing is applied to the virtual arrays and no preliminary DOA estimation is required. Simulation results are provided to demonstrate the effectiveness of the proposed methods.

Metadata

Item Type:	Article
Authors/Creators:	Shen, Q. Liu, W. https://orcid.org/0000-0003-2968-2888 Cui, W. Wu, S. Zhang, Y.D. Amin, M.
Copyright, Publisher and Additional Information:	© 2016 IEEE. This is an author produced version of a paper subsequently published in IEEE Signal Processing Letters. Uploaded in accordance with the publisher's self-archiving policy.
Dates:	Published: January 2017 Published (online): 13 December 2016 Accepted: 5 December 2016
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:	17 Jan 2017 13:38
Last Modified:	23 Mar 2018 05:30
Published Version:	https://doi.org/10.1109/LSP.2016.2638880
Status:	Published
Publisher:	IEEE
Refereed:	Yes
Identification Number:	10.1109/LSP.2016.2638880
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:110610

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Focused Compressive Sensing for Underdetermined Wideband DOA Estimation Exploiting High-Order Difference Co-Arrays

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