Optimality analysis of sensor-target geometries in Passive localization: Part 1 - bearing-only localization Bishop, Adrian, Fidan, Barıs, Anderson, Brian, Dogancay, Kutluyıl and Pathirana, Pubudu 2007, Optimality analysis of sensor-target geometries in Passive localization: Part 1 - bearing-only localization, in Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing Conference, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. 7-12. Attached Files Name Description MIMEType Size Downloads Title Optimality analysis of sensor-target geometries in Passive localization: Part 1 - bearing-only localization Author(s) Bishop, Adrian Fidan, Barıs Anderson, Brian Dogancay, Kutluyıl Pathirana, Pubudu orcid.org/0000-0001-8014-7798 Conference name International Conference on Intelligent Sensors, Sensor Networks and Information Processing (2007 : Melbourne, Vic.) Conference location Melbourne, Australia Conference dates 3-6 December 2007 Title of proceedings Proceedings of the 2007 Intelligent Sensors, Sensor Networks & Information Processing Conference Editor(s) [Unknown] Publication date 2007 Conference series International Conference on Intelligent Sensors, Sensor Networks and Information Start page 7 End page 12 Publisher Institute of Electrical and Electronics Engineers (IEEE) Place of publication Piscataway, N.J. Keyword(s) geometry sensors Summary In this paper we characterize the relative sensor-target geometry for bearing-only localization in R2. We analyze the geometry in terms of the Cramer-Rao inequality and the corresponding Fisher information matrix, aiming to characterize and state explicit results in terms of the potential localization performance. In particular, a number of interesting results are rigorously derived which highlight erroneous assumptions often made in the existing literature. ISBN 1424415020 9781424415021 Language eng Field of Research 090602 Control Systems, Robotics and Automation HERDC Research category E1 Full written paper - refereed Copyright notice ©2007, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30008032 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment 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 Wed, 25 Feb 2009, 15:30:48 EST Thu, 26 Aug 2010, 11:16:13 EST Fri, 16 Mar 2012, 16:20:11 EST Wed, 21 Oct 2015, 13:18:50 EST Wed, 21 Oct 2015, 16:37:33 EST Tue, 06 Sep 2016, 10:52:16 EST Filtered Full Citation counts:   Cited 33 times in TR Web of Science Cited 57 times in Scopus Search Google Scholar Access Statistics: 1115 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 29 Sep 2008, 09:03:44 EST

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