Bearing-only localization using geometrically constrained optimization

Bishop, AN; Anderson, BDO; Fidan, B; Pathirana, PN; Mao, G

Bearing-only localization using geometrically constrained optimization

Bishop, AN

Anderson, BDO Fidan, B Pathirana, PN Mao, G

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Aerospace and Electronic Systems, 2009, 45 (1), pp. 308 - 320
Issue Date:: 2009-05-07

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Field	Value	Language
dc.contributor.author	Bishop, AN https://orcid.org/0000-0001-8581-8562	en_US
dc.contributor.author	Anderson, BDO	en_US
dc.contributor.author	Fidan, B	en_US
dc.contributor.author	Pathirana, PN	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.date.issued	2009-05-07	en_US
dc.identifier.citation	IEEE Transactions on Aerospace and Electronic Systems, 2009, 45 (1), pp. 308 - 320	en_US
dc.identifier.issn	0018-9251	en_US
dc.identifier.uri	http://hdl.handle.net/10453/28381
dc.description.abstract	We examine the problem of optimal bearing-only localization of a single target using synchronous measurements from multiple sensors. We approach the problem by forming geometric relationships between the measured parameters and their corresponding errors in the relevant emitter localization scenarios. Specifically, we derive a geometric constraint equation on the measurement errors in such a scenario. Using this constraint, we formulate the localization task as a constrained optimization problem that can be performed on the measurements in order to provide the optimal values such that the solution is consistent with the underlying geometry. We illustrate and confirm the advantages of our approach through simulation, offering detailed comparison with traditional maximum likelihood (TML) estimation. © 2009 IEEE.	en_US
dc.relation.ispartof	IEEE Transactions on Aerospace and Electronic Systems	en_US
dc.relation.isbasedon	10.1109/TAES.2009.4805281	en_US
dc.subject.classification	Aerospace & Aeronautics	en_US
dc.title	Bearing-only localization using geometrically constrained optimization	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	45	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0901 Aerospace Engineering	en_US
utslib.for	0909 Geomatic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	45	en_US

Abstract:

We examine the problem of optimal bearing-only localization of a single target using synchronous measurements from multiple sensors. We approach the problem by forming geometric relationships between the measured parameters and their corresponding errors in the relevant emitter localization scenarios. Specifically, we derive a geometric constraint equation on the measurement errors in such a scenario. Using this constraint, we formulate the localization task as a constrained optimization problem that can be performed on the measurements in order to provide the optimal values such that the solution is consistent with the underlying geometry. We illustrate and confirm the advantages of our approach through simulation, offering detailed comparison with traditional maximum likelihood (TML) estimation. © 2009 IEEE.

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http://hdl.handle.net/10453/28381