DocumentCode
3315174
Title
Target Tracking with Range and Bearing Measurements via Robust Linear Filtering
Author
Bishop, Adrian N. ; Pathirana, Pubudu N. ; Savkin, Andrey V.
Author_Institution
Deakin Univ., Geelong
fYear
2007
fDate
3-6 Dec. 2007
Firstpage
131
Lastpage
135
Abstract
In this paper we provide a robust version of a linear Kalman filter for target tracking with nonlinear range and bearing measurements. Moreover, we prove that the state estimation error is bounded in a probabilistic sense. We compare our approach with the current state of the art in converted radar measurement based linear filtering.
Keywords
Kalman filters; image motion analysis; matrix algebra; radar tracking; state estimation; target tracking; bearing measurements; linear Kalman filter; radar measurement based linear filtering; state estimation error; target tracking; Acceleration; Coordinate measuring machines; Heuristic algorithms; Maximum likelihood detection; Nonlinear filters; Radar measurements; Radar tracking; Robustness; State estimation; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
Conference_Location
Melbourne, Qld.
Print_ISBN
978-1-4244-1501-4
Electronic_ISBN
978-1-4244-1502-1
Type
conf
DOI
10.1109/ISSNIP.2007.4496832
Filename
4496832
Link To Document