Stochastic Control of Observer Trajectories in Passive Tracking with Acoustic Signal Propagation Optimization
| Autor: | François Dufour, Benoîte de Saporta, Dann Laneuville, Adrien Negre, Huilong Zhang |
|---|---|
| Přispěvatelé: | Quality control and dynamic reliability ( CQFD ), Institut de Mathématiques de Bordeaux ( IMB ), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux ( UB ) -Institut Polytechnique de Bordeaux ( Bordeaux INP ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux ( UB ) -Institut Polytechnique de Bordeaux ( Bordeaux INP ) -Centre National de la Recherche Scientifique ( CNRS ) -Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ), Institut Montpelliérain Alexander Grothendieck ( IMAG ), Université de Montpellier ( UM ) -Centre National de la Recherche Scientifique ( CNRS ), DCNS Group ( DCNS ), DCNS group, Quality control and dynamic reliability (CQFD), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Institut Polytechnique de Bordeaux (Bordeaux INP), Institut Montpelliérain Alexander Grothendieck (IMAG), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Naval Group, Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Observer (quantum physics) Computer science Markov process Context (language use) 02 engineering and technology symbols.namesake 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Quantisation (signal) Electrical and Electronic Engineering Observers ComputingMilieux_MISCELLANEOUS Stochastic control Markov processes Tracking 020206 networking & telecommunications Kalman filter Filter (signal processing) Dynamic programming symbols Underwater vehicles Markov decision process [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Acoustic wave propagation [ MATH.MATH-PR ] Mathematics [math]/Probability [math.PR] Acoustic signal processing |
| Zdroj: | IET Radar Sonar and Navigation IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2018, 12 (1), pp.112-120. 〈http://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0123〉 IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2018, 12 (1), pp.112-120. ⟨10.1049/iet-rsn.2017.0123⟩ IET Radar Sonar and Navigation, 2018, 12 (1), pp.112-120. ⟨10.1049/iet-rsn.2017.0123⟩ |
| ISSN: | 1751-8784 1751-8792 |
| DOI: | 10.1049/iet-rsn.2017.0123〉 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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