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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.

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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
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
Collection: School of Engineering and Information Technology
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