Distributed joint probabilistic data association filter with hybrid fusion strategy

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dc.contributor.authorHe, Shaoming
dc.contributor.authorShin, Hyosang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2019-02-22T11:27:51Z
dc.date.available2019-02-22T11:27:51Z
dc.date.issued2019-02-20
dc.description.abstractThis paper investigates the problem of distributed multitarget tracking (MTT) over a large-scale sensor network, consisting of low-cost sensors. Each local sensor runs a joint probabilistic data association filter to obtain local estimates and communicates with its neighbors for information fusion. The conventional fusion strategies, i.e., consensus on measurement (CM) and consensus on information (CI), are extended to MTT scenarios. This means that data association uncertainty and sensor fusion problems are solved simultaneously. Motivated by the complementary characteristics of these two different fusion approaches, a novel distributed MTT algorithm using a hybrid fusion strategy, e.g., a mix of CM and CI, is proposed. A distributed counting algorithm is incorporated into the tracker to provide the knowledge of the total number of sensor nodes. The new algorithm developed shows advantages in preserving boundedness of local estimates, guaranteeing global convergence to the optimal centralized version and being implemented without requiring no global information, compared with other fusion approaches. Simulations clearly demonstrate the characteristics and tracking performance of the proposed algorithm.en_UK
dc.identifier.citationHe S, Shin H-S, Tsourdos A. (2019) Distributed joint probabilistic data association filter with hybrid fusion strategy. IEEE Transactions on Instrumentation and Measurement, Volume 69, Issue 1, January 2020, pp. 286-300en_UK
dc.identifier.cris22652616
dc.identifier.issn0018-9456
dc.identifier.urihttps://doi.org/10.1109/TIM.2019.2894048
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/13929
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMulti-target trackingen_UK
dc.subjectMulti-sensor fusionen_UK
dc.subjectDistributed fusionen_UK
dc.subjectJoint probabilistic data associationen_UK
dc.subjectHybrid fusionen_UK
dc.titleDistributed joint probabilistic data association filter with hybrid fusion strategyen_UK
dc.typeArticleen_UK

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