Stochastic control of observer trajectories in passive tracking with acoustic signal propagation optimisation

Abstract : The authors present in this study a numerical method which computes the optimal trajectory of a underwater vehicle subject to some mission objectives. The method is applied to a submarine whose goal is to best detect one or several targets, or/and to minimise its own detection range perceived by the other targets. The signal considered is acoustic propagation attenuation. This approach is based on dynamic programming of a finite horizon Markov decision process. A quantisation method is applied to fully discretise the problem and allows a numerically tractable solution. Different scenarios are considered. The authors suppose at first that the position and the velocity of the targets are known and in the second they suppose that they are unknown and estimated by a Kalman type filter in a context of passive tracking.
Type de document :
Article dans une revue
IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2018, 12 (1), pp.112-120
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https://hal.inria.fr/hal-01953926
Contributeur : François Dufour <>
Soumis le : jeudi 13 décembre 2018 - 13:19:34
Dernière modification le : jeudi 7 février 2019 - 17:47:55

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  • HAL Id : hal-01953926, version 1

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Huilong Zhang, François Dufour, Benoîte De Saporta, Dann Laneuville, Adrien Nègre. Stochastic control of observer trajectories in passive tracking with acoustic signal propagation optimisation. IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2018, 12 (1), pp.112-120. 〈hal-01953926〉

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