Eigenspace Time-Reversal Robust Capon Beamforming for Target Localization in Continuous Random Media

Hossain, MD; Mohan, AS

Eigenspace Time-Reversal Robust Capon Beamforming for Target Localization in Continuous Random Media

Hossain, MD

Mohan, AS

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Publication Type:: Journal Article
Citation:: IEEE Antennas and Wireless Propagation Letters, 2017, 16 pp. 1605 - 1608
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Hossain, MD https://orcid.org/0000-0002-8162-686X	en_US
dc.contributor.author	Mohan, AS https://orcid.org/0000-0002-4503-5851	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	IEEE Antennas and Wireless Propagation Letters, 2017, 16 pp. 1605 - 1608	en_US
dc.identifier.issn	1536-1225	en_US
dc.identifier.uri	http://hdl.handle.net/10453/123002
dc.description.abstract	© 2017 IEEE. We propose a novel eigenspace time-reversal robust Capon beamformer (E-TR-RCB) for improved target localization in continuous random media. We also derive the Beamspace-TR-RCB (B-TR-RCB) algorithm and compare their localization performances by varying the medium characteristic and excitation bandwidth. Finite-difference time-domain (FDTD) method is used to numerically obtain the multistatic scattered field data from the continuous random dielectric medium. The results indicate that the E-TR-RCB has superior performance over the B-TR-RCB and outperforms the conventional (elementspace) TR-RCB and decomposition of the time-reversal operator (DORT) imaging techniques.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0773234
dc.relation.ispartof	IEEE Antennas and Wireless Propagation Letters	en_US
dc.relation.isbasedon	10.1109/LAWP.2017.2653809	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Eigenspace Time-Reversal Robust Capon Beamforming for Target Localization in Continuous Random Media	en_US
dc.type	Journal Article
utslib.citation.volume	16	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

© 2017 IEEE. We propose a novel eigenspace time-reversal robust Capon beamformer (E-TR-RCB) for improved target localization in continuous random media. We also derive the Beamspace-TR-RCB (B-TR-RCB) algorithm and compare their localization performances by varying the medium characteristic and excitation bandwidth. Finite-difference time-domain (FDTD) method is used to numerically obtain the multistatic scattered field data from the continuous random dielectric medium. The results indicate that the E-TR-RCB has superior performance over the B-TR-RCB and outperforms the conventional (elementspace) TR-RCB and decomposition of the time-reversal operator (DORT) imaging techniques.

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http://hdl.handle.net/10453/123002