Doppler shift target localization

Shames, I; Bishop, AN; Smith, M; Anderson, BDO

Doppler shift target localization

Shames, I Bishop, AN

Smith, M Anderson, BDO

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (1), pp. 266 - 276
Issue Date:: 2013-01-18

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Field	Value	Language
dc.contributor.author	Shames, I	en_US
dc.contributor.author	Bishop, AN https://orcid.org/0000-0001-8581-8562	en_US
dc.contributor.author	Smith, M	en_US
dc.contributor.author	Anderson, BDO	en_US
dc.date.issued	2013-01-18	en_US
dc.identifier.citation	IEEE Transactions on Aerospace and Electronic Systems, 2013, 49 (1), pp. 266 - 276	en_US
dc.identifier.issn	0018-9251	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116199
dc.description.abstract	The problem of Doppler-based target position and velocity estimation using a sensor network is outlined. The minimum number of Doppler-shift measurements at distinct generic sensor positions in order to have a finite number of solutions, and later, a unique solution for the unknown target position and velocity are stated analytically. Furthermore we study the same problem, where not only Doppler-shift measurements are collected, but also other types of measurements are available, e.g,. bearing or distance to the target from each of the sensors. Later we study the Cramer-Rao inequality associated with the Doppler-shift measurements to a target in a sensor network, and we use the Cramer-Rao bound to illustrate some results on optimal placements of the sensors when the goal is to estimate the velocity of the target. Some simulation results are presented at the end. © 1965-2011 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DE120102873
dc.relation.ispartof	IEEE Transactions on Aerospace and Electronic Systems	en_US
dc.relation.isbasedon	10.1109/TAES.2013.6404102	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Aerospace & Aeronautics	en_US
dc.title	Doppler shift target localization	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	49	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/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access	*
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	49	en_US

Abstract:

The problem of Doppler-based target position and velocity estimation using a sensor network is outlined. The minimum number of Doppler-shift measurements at distinct generic sensor positions in order to have a finite number of solutions, and later, a unique solution for the unknown target position and velocity are stated analytically. Furthermore we study the same problem, where not only Doppler-shift measurements are collected, but also other types of measurements are available, e.g,. bearing or distance to the target from each of the sensors. Later we study the Cramer-Rao inequality associated with the Doppler-shift measurements to a target in a sensor network, and we use the Cramer-Rao bound to illustrate some results on optimal placements of the sensors when the goal is to estimate the velocity of the target. Some simulation results are presented at the end. © 1965-2011 IEEE.

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http://hdl.handle.net/10453/116199