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Comparison of some Kalman Filter based Methods for Maneuver Tracking and Detection
Royal Institute of Technology, Sweden.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1995 (English)In: Proceedings of the 34th IEEE Conference on Decision and Control, 1995, 1525-1531 vol.2 p.Conference paper (Refereed)
Abstract [en]

This paper describes general modelling of radar target tracking scenarios. Manoeuvres are modelled using a stochastic continuous-time model. The goal of this paper is twofold: to compare two different choices of velocity coordinates, and to compare two different manoeuvre models leading to pruning and merging of the filter bank respectively. Simulation results indicate that velocity and heading should be used as states. Regarding merging and pruning there seems to be a trade-off between performance at the beginning of the turn and the steady-state accuracy.

Place, publisher, year, edition, pages
1995. 1525-1531 vol.2 p.
Keyword [en]
Kalman filters, Markov processes, Radar tracking, State estimation, Stochastic processes
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-93739DOI: 10.1109/CDC.1995.480354ISBN: 0-7803-2685-7OAI: diva2:628122
34th IEEE Conference on Decision and Control, New Orleans, LA, USA, December, 1995
Available from: 2013-06-13 Created: 2013-06-10 Last updated: 2013-06-13

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Gustafsson, Fredrik
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Automatic ControlThe Institute of Technology
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