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Joint Detection and Localization of Multiple Moving Targets in a Distributed Radar System

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Název: Joint Detection and Localization of Multiple Moving Targets in a Distributed Radar System
Autoři: Lai, Yangming, Yi, Wei, Wymeersch, Henk, 1976, Keskin, Musa Furkan, 1988, Zhou, Qiyu, Kong, Lingjiang
Zdroj: 6G DISAC IEEE Sensors Journal. 24(17):27914-27925
Témata: Sensors, Location awareness, Radar imaging, Radar, iterative cancellation, Distributed radar system, generalized information criterion, Radar cross-sections, joint detection and localization, Radar tracking, generalized likelihood ratio test, Radar detection
Popis: This article investigates the joint detection and localization (JDL) problem of unknown number multiple moving targets in a distributed radar system. Upon formulating this problem as a composite multiple hypothesis testing problem, we derive a generalized information criterion (GIC)-based detector to simultaneously extract targets and estimate their unknown parameters, including their number, amplitudes, locations, and velocities. Although this solution theoretically achieves impressive performance by using raw echoes data to jointly detect and estimate multiple targets at the fusion center (FC), it also requires an unbearable computational load in practice. It is because multiple targets are expected to be simultaneously extracted by realizing a joint maximization task and making an enormous search. To reduce the computational burden, we propose a low-complexity solution to decompose the high-dimensional problem into several low-dimensional optimization problems. For local radars to undertake a portion of the calculations, the log-likelihood ratio (LLR) data are generated at each local station and then completely transmitted to the FC. Different from extracting multiple targets simultaneously using a GIC-based detector, we devise an extended successive-interference-cancellation (SIC) algorithm to detect targets one by one at the FC, and meanwhile, the parameters of targets can be simultaneously estimated at each iteration. Finally, the effectiveness of the proposed algorithm is demonstrated by the provided simulations.
Popis souboru: electronic
Přístupová URL adresa: https://research.chalmers.se/publication/542309
https://research.chalmers.se/publication/542309/file/542309_Fulltext.pdf
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Joint Detection and Localization of Multiple Moving Targets in a Distributed Radar System
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lai%2C+Yangming%22">Lai, Yangming</searchLink><br /><searchLink fieldCode="AR" term="%22Yi%2C+Wei%22">Yi, Wei</searchLink><br /><searchLink fieldCode="AR" term="%22Wymeersch%2C+Henk%22">Wymeersch, Henk</searchLink>, 1976<br /><searchLink fieldCode="AR" term="%22Keskin%2C+Musa+Furkan%22">Keskin, Musa Furkan</searchLink>, 1988<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Qiyu%22">Zhou, Qiyu</searchLink><br /><searchLink fieldCode="AR" term="%22Kong%2C+Lingjiang%22">Kong, Lingjiang</searchLink>
– Name: TitleSource
  Label: Source
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  Data: <i>6G DISAC IEEE Sensors Journal</i>. 24(17):27914-27925
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  Data: <searchLink fieldCode="DE" term="%22Sensors%22">Sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Location+awareness%22">Location awareness</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+imaging%22">Radar imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22iterative+cancellation%22">iterative cancellation</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+radar+system%22">Distributed radar system</searchLink><br /><searchLink fieldCode="DE" term="%22generalized+information+criterion%22">generalized information criterion</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+cross-sections%22">Radar cross-sections</searchLink><br /><searchLink fieldCode="DE" term="%22joint+detection+and+localization%22">joint detection and localization</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+tracking%22">Radar tracking</searchLink><br /><searchLink fieldCode="DE" term="%22generalized+likelihood+ratio+test%22">generalized likelihood ratio test</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+detection%22">Radar detection</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This article investigates the joint detection and localization (JDL) problem of unknown number multiple moving targets in a distributed radar system. Upon formulating this problem as a composite multiple hypothesis testing problem, we derive a generalized information criterion (GIC)-based detector to simultaneously extract targets and estimate their unknown parameters, including their number, amplitudes, locations, and velocities. Although this solution theoretically achieves impressive performance by using raw echoes data to jointly detect and estimate multiple targets at the fusion center (FC), it also requires an unbearable computational load in practice. It is because multiple targets are expected to be simultaneously extracted by realizing a joint maximization task and making an enormous search. To reduce the computational burden, we propose a low-complexity solution to decompose the high-dimensional problem into several low-dimensional optimization problems. For local radars to undertake a portion of the calculations, the log-likelihood ratio (LLR) data are generated at each local station and then completely transmitted to the FC. Different from extracting multiple targets simultaneously using a GIC-based detector, we devise an extended successive-interference-cancellation (SIC) algorithm to detect targets one by one at the FC, and meanwhile, the parameters of targets can be simultaneously estimated at each iteration. Finally, the effectiveness of the proposed algorithm is demonstrated by the provided simulations.
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  Data: electronic
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      – Type: doi
        Value: 10.1109/JSEN.2024.3432636
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 27914
    Subjects:
      – SubjectFull: Sensors
        Type: general
      – SubjectFull: Location awareness
        Type: general
      – SubjectFull: Radar imaging
        Type: general
      – SubjectFull: Radar
        Type: general
      – SubjectFull: iterative cancellation
        Type: general
      – SubjectFull: Distributed radar system
        Type: general
      – SubjectFull: generalized information criterion
        Type: general
      – SubjectFull: Radar cross-sections
        Type: general
      – SubjectFull: joint detection and localization
        Type: general
      – SubjectFull: Radar tracking
        Type: general
      – SubjectFull: generalized likelihood ratio test
        Type: general
      – SubjectFull: Radar detection
        Type: general
    Titles:
      – TitleFull: Joint Detection and Localization of Multiple Moving Targets in a Distributed Radar System
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            NameFull: Lai, Yangming
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            NameFull: Yi, Wei
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            NameFull: Keskin, Musa Furkan
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            NameFull: Zhou, Qiyu
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            NameFull: Kong, Lingjiang
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              M: 01
              Type: published
              Y: 2024
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