Collinearity problems in passive target localization using direction finding sensors

Fidan, B; Drake, SP; Anderson, BDO; Mao, G; Kannan, AA

Collinearity problems in passive target localization using direction finding sensors

Fidan, B Drake, SP Anderson, BDO Mao, G

Kannan, AA

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Publication Type:: Conference Proceeding
Citation:: ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2009, pp. 115 - 120
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Fidan, B	en_US
dc.contributor.author	Drake, SP	en_US
dc.contributor.author	Anderson, BDO	en_US
dc.contributor.author	Mao, G https://orcid.org/0000-0002-3598-4949	en_US
dc.contributor.author	Kannan, AA	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, 2009, pp. 115 - 120	en_US
dc.identifier.isbn	9781424435180	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32019
dc.description.abstract	In passive target localization using direction finding (DF), there are particular sensor-target placements that cause large biases in the estimates or the failure of estimates to converge to a unique solution. Identification of such problematic configurations is crucial for implementing estimation and tracking algorithms effectively. In this paper we propose four methods for characterizing near-collinearity problems in a sensor-target configuration which enable one to quickly and easily identify cases in which DF-based localization will fail to obtain a solution or give unreliable results. © 2009 IEEE.	en_US
dc.relation.ispartof	ISSNIP 2009 - Proceedings of 2009 5th International Conference on Intelligent Sensors, Sensor Networks and Information Processing	en_US
dc.relation.isbasedon	10.1109/ISSNIP.2009.5416817	en_US
dc.title	Collinearity problems in passive target localization using direction finding sensors	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	Melbourne, VIC
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In passive target localization using direction finding (DF), there are particular sensor-target placements that cause large biases in the estimates or the failure of estimates to converge to a unique solution. Identification of such problematic configurations is crucial for implementing estimation and tracking algorithms effectively. In this paper we propose four methods for characterizing near-collinearity problems in a sensor-target configuration which enable one to quickly and easily identify cases in which DF-based localization will fail to obtain a solution or give unreliable results. © 2009 IEEE.

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http://hdl.handle.net/10453/32019