Localization of emitters via the intersection of bearing lines: a ghost elimination approach Bishop, Adrian and Pathirana, Pubudu 2007, Localization of emitters via the intersection of bearing lines: a ghost elimination approach, IEEE transactions on vehicular technology, vol. 56, no. 5, pp. 3106-3110. Attached Files Name Description MIMEType Size Downloads Title Localization of emitters via the intersection of bearing lines: a ghost elimination approach Author(s) Bishop, Adrian Pathirana, Pubudu orcid.org/0000-0001-8014-7798 Journal name IEEE transactions on vehicular technology Volume number 56 Issue number 5 Start page 3106 End page 3110 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2007-09 ISSN 0018-9545 1939-9359 Keyword(s) data-association bearings-only tracking ghost elimination multiple target localization passive localization sensor networks Notes n this paper, we discuss some theoretical conditions for unique localization of multiple targets using the intersection of multiple bearing lines in the presence of the data-association problem. In particular, we examine the necessary theoretical requirements to solve the so-called ghost node problem. We illustrate that it is by no means possible to assume that three spatially distinct bearing sensors are sufficient to eliminate the so-called ghost node problem. In contrast, we derive a measurement bound for ideal environments that clearly refutes this commonly held assumption. Then, we provide a probabilistic analysis on the rate of ghost elimination as a function of the measurement (sensor) numbers. Finally, we examine some of the concepts that were discussed via illustrative simulations. Language eng Field of Research 010203 Calculus of Variations, Systems Theory and Control Theory HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2007, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30007201 Document type: Journal Article Collection: School of Engineering and Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 16 Jun 2014, 08:30:18 EST Tue, 06 Sep 2016, 10:35:51 EST Filtered Full Citation counts:   Cited 18 times in TR Web of Science Cited 27 times in Scopus Search Google Scholar Access Statistics: 725 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 29 Sep 2008, 08:49:26 EST

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