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Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence

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Titel: Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence
Autoren: Chenguang Shi, Jing Dong, Sana Salous, Ziwei Wang, Jianjiang Zhou
Quelle: Remote Sensing, Vol 15, Iss 13, p 3386 (2023)
Verlagsinformationen: MDPI AG
Publikationsjahr: 2023
Bestand: Directory of Open Access Journals: DOAJ Articles
Schlagwörter: collaborative trajectory planning and resource allocation (CTPRA), multi-target tracking (MTT), airborne radar networks, Bayesian Cramér–Rao lower bound (BCRLB), spectral coexistence, Science
Beschreibung: This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks. The key mechanism of the proposed strategy is to jointly design the flight trajectory and optimize the radar assignment, transmit power, dwell time, and signal effective bandwidth allocation of multiple airborne radars, aiming to enhance the MTT performance under the constraints of the tolerable threshold of interference energy, platform kinematic limitations, and given illumination resource budgets. The closed-form expression for the Bayesian Cramér–Rao lower bound (BCRLB) under the consideration of spectral coexistence is calculated and adopted as the optimization criterion of the CTPRA strategy. It is shown that the formulated CTPRA problem is a mixed-integer programming, non-linear, non-convex optimization model owing to its highly coupled Boolean and continuous parameters. By incorporating semi-definite programming (SDP), particle swarm optimization (PSO), and the cyclic minimization technique, an iterative four-stage solution methodology is proposed to tackle the formulated optimization problem efficiently. The numerical results validate the effectiveness and the MTT performance improvement of the proposed CTPRA strategy in comparison with other benchmarks.
Publikationsart: article in journal/newspaper
Sprache: English
Relation: https://www.mdpi.com/2072-4292/15/13/3386; https://doaj.org/toc/2072-4292; https://doaj.org/article/b8b3d28770694e449b9df404559b3b87
DOI: 10.3390/rs15133386
Verfügbarkeit: https://doi.org/10.3390/rs15133386
https://doaj.org/article/b8b3d28770694e449b9df404559b3b87
Dokumentencode: edsbas.DB8FEA7F
Datenbank: BASE
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Items – Name: Title
  Label: Title
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  Data: Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence
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  Data: <searchLink fieldCode="AR" term="%22Chenguang+Shi%22">Chenguang Shi</searchLink><br /><searchLink fieldCode="AR" term="%22Jing+Dong%22">Jing Dong</searchLink><br /><searchLink fieldCode="AR" term="%22Sana+Salous%22">Sana Salous</searchLink><br /><searchLink fieldCode="AR" term="%22Ziwei+Wang%22">Ziwei Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Jianjiang+Zhou%22">Jianjiang Zhou</searchLink>
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  Data: Remote Sensing, Vol 15, Iss 13, p 3386 (2023)
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  Data: MDPI AG
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  Label: Publication Year
  Group: Date
  Data: 2023
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  Data: Directory of Open Access Journals: DOAJ Articles
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  Data: <searchLink fieldCode="DE" term="%22collaborative+trajectory+planning+and+resource+allocation+%28CTPRA%29%22">collaborative trajectory planning and resource allocation (CTPRA)</searchLink><br /><searchLink fieldCode="DE" term="%22multi-target+tracking+%28MTT%29%22">multi-target tracking (MTT)</searchLink><br /><searchLink fieldCode="DE" term="%22airborne+radar+networks%22">airborne radar networks</searchLink><br /><searchLink fieldCode="DE" term="%22Bayesian+Cramér–Rao+lower+bound+%28BCRLB%29%22">Bayesian Cramér–Rao lower bound (BCRLB)</searchLink><br /><searchLink fieldCode="DE" term="%22spectral+coexistence%22">spectral coexistence</searchLink><br /><searchLink fieldCode="DE" term="%22Science%22">Science</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks. The key mechanism of the proposed strategy is to jointly design the flight trajectory and optimize the radar assignment, transmit power, dwell time, and signal effective bandwidth allocation of multiple airborne radars, aiming to enhance the MTT performance under the constraints of the tolerable threshold of interference energy, platform kinematic limitations, and given illumination resource budgets. The closed-form expression for the Bayesian Cramér–Rao lower bound (BCRLB) under the consideration of spectral coexistence is calculated and adopted as the optimization criterion of the CTPRA strategy. It is shown that the formulated CTPRA problem is a mixed-integer programming, non-linear, non-convex optimization model owing to its highly coupled Boolean and continuous parameters. By incorporating semi-definite programming (SDP), particle swarm optimization (PSO), and the cyclic minimization technique, an iterative four-stage solution methodology is proposed to tackle the formulated optimization problem efficiently. The numerical results validate the effectiveness and the MTT performance improvement of the proposed CTPRA strategy in comparison with other benchmarks.
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  Data: https://www.mdpi.com/2072-4292/15/13/3386; https://doaj.org/toc/2072-4292; https://doaj.org/article/b8b3d28770694e449b9df404559b3b87
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  Data: 10.3390/rs15133386
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  Data: https://doi.org/10.3390/rs15133386<br />https://doaj.org/article/b8b3d28770694e449b9df404559b3b87
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        Value: 10.3390/rs15133386
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      – Text: English
    Subjects:
      – SubjectFull: collaborative trajectory planning and resource allocation (CTPRA)
        Type: general
      – SubjectFull: multi-target tracking (MTT)
        Type: general
      – SubjectFull: airborne radar networks
        Type: general
      – SubjectFull: Bayesian Cramér–Rao lower bound (BCRLB)
        Type: general
      – SubjectFull: spectral coexistence
        Type: general
      – SubjectFull: Science
        Type: general
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      – TitleFull: Collaborative Trajectory Planning and Resource Allocation for Multi-Target Tracking in Airborne Radar Networks under Spectral Coexistence
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            NameFull: Chenguang Shi
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            NameFull: Ziwei Wang
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            NameFull: Jianjiang Zhou
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              Y: 2023
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          Titles:
            – TitleFull: Remote Sensing, Vol 15, Iss 13, p 3386 (2023
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