Bearings-Only Tracking with Particle Filtering for Joint Parameter Learning and State Estimation

Nemeth, Christopher and Fearnhead, Paul and Mihaylova, Lyudmila and Vorley, D. (2012) Bearings-Only Tracking with Particle Filtering for Joint Parameter Learning and State Estimation. In: Information Fusion (FUSION), 2012 15th International Conference on. IEEE, SGP, pp. 824-831. ISBN 9781467304177

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Abstract

This paper considers the problem of bearings only tracking of manoeuvring targets. A learning particle filtering algorithm is proposed which can estimate both the unknown target states and unknown model parameters. The algorithm performance is validated and tested over a challenging scenario with abrupt manoeuvres. A comparison of the proposed algorithm with the Interacting Multiple Model (IMM) filter is presented. The learning particle filter has shown accurate estimation results and improved accuracy compared with the IMM filter.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
pp. 824-831
Uncontrolled Keywords:
/dk/atira/pure/researchoutput/libraryofcongress/qa75
Subjects:
ID Code:
56275
Deposited By:
Deposited On:
27 Jul 2012 09:05
Refereed?:
Yes
Published?:
Published
Last Modified:
07 Jan 2020 03:19