Trajectory optimization for multi-sensor multi-target search and tracking with bearing-only measurements

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dc.contributor.authorYang, Xiwen
dc.contributor.authorYin, Hang
dc.contributor.authorHe, Shaoming
dc.contributor.authorXie, Ye
dc.contributor.authorShin, Hyosang
dc.date.accessioned2023-07-24T13:30:13Z
dc.date.available2023-07-24T13:30:13Z
dc.date.issued2023-07-20
dc.description.abstractThis paper proposes a trajectory optimization approach for multi-sensor multi-target search and tracking using bearing-only sensors. Based on the framework of the joint integrated probabilistic data association (JIPDA) filter, the intensity of potential unknown targets is updated according to the trajectories of the UAVs. The performance indices for target search and tracking are constructed based on, respectively, the intensity of unknown targets in the search area and the tracking error covariance. A dimensionless criterion, evaluating the search and tracking performance, is formulated and leveraged as the objective function of the UAV trajectory optimization problem. Simulations were carried out in different search and tracking scenarios to demonstrate the effectiveness of the proposed approach.en_UK
dc.identifier.citationYang X, Yin H, He S, et al., (2023) Trajectory optimization for multi-sensor multi-target search and tracking with bearing-only measurements, Aerospace, Volume 10, Issue 7, July 2023, Article Number 652en_UK
dc.identifier.issn2226-4310
dc.identifier.urihttps://doi.org/10.3390/aerospace10070652
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20026
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectsearch while trackingen_UK
dc.subjectUAVsen_UK
dc.subjectmulti-target trackingen_UK
dc.subjecttrajectory optimizationen_UK
dc.titleTrajectory optimization for multi-sensor multi-target search and tracking with bearing-only measurementsen_UK
dc.typeArticleen_UK

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