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Piecewise Optimal Trajectories of Observer for Bearings-Only Tracking by Quantization

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorZHANG, Huilong
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut Polytechnique de Bordeaux [Bordeaux INP]
dc.contributor.authorDUFOUR, François
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorANSELMI, Jonatha
hal.structure.identifierDCNS Group [DCNS]
dc.contributor.authorLANEUVILLE, Dann
hal.structure.identifierDCNS Group [DCNS]
dc.contributor.authorNÈGRE, Adrien
dc.date.accessioned2024-04-04T03:08:46Z
dc.date.available2024-04-04T03:08:46Z
dc.date.created2017-07
dc.date.issued2017-07
dc.date.conference2017-07-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193557
dc.description.abstractEnWe investigate the problem of determining the trajectory that an observer should follow to be able to accurately track a target in a bearings-only measurements context. We assume that the target’s motion is uniform and that the measurements are corrupted by an additive Gaussian whitenoise. Though, in theory, this process is observable if the observer maneuvers with turns or accelerations, the quality of the resulting estimation strongly depends on the trajectory chosen by the observer. In this paper, we present a numerical method to compute a trajectory of a maneuvering observer with the objective of maximizing the cumulative sum of bearing rates between the target and observer. Our approach is based on the piecewise stochastic control of a finite-horizon Markov process. A quantization method is applied to transform the problem into a discrete domain. We show that this transformation allows for a numerically tractable solution able to accurately track the target in a number of practical scenarios.
dc.language.isoen
dc.source.title20th International Conference on Information Fusion
dc.subject.enNon linear filtering
dc.subject.enQuantization
dc.subject.enBearingsonly tracking
dc.subject.enStochastic optimal control
dc.subject.enUnderwater acoustic warfare
dc.title.enPiecewise Optimal Trajectories of Observer for Bearings-Only Tracking by Quantization
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.page1458-1464
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title20th International Conference on Information Fusion
bordeaux.countryCN
bordeaux.title.proceeding20th International Conference on Information Fusion
bordeaux.conference.cityXi'an
bordeaux.peerReviewedoui
hal.identifierhal-01591013
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2017-07-13
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01591013v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=20th%20International%20Conference%20on%20Information%20Fusion&rft.date=2017-07&rft.spage=1458-1464&rft.epage=1458-1464&rft.au=ZHANG,%20Huilong&DUFOUR,%20Fran%C3%A7ois&ANSELMI,%20Jonatha&LANEUVILLE,%20Dann&N%C3%88GRE,%20Adrien&rft.genre=unknown


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