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Joint Detection and Localization with an Efficient Censoring Method for Distributed Monopulse Radars under Communication Constraints

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Titel: Joint Detection and Localization with an Efficient Censoring Method for Distributed Monopulse Radars under Communication Constraints
Autoren: Lai, Yangming, Yang, Shixing, Keskin, Musa Furkan, 1988, Wymeersch, Henk, 1976, Kong, Lingjiang, Yi, Wei
Quelle: IEEE Transactions on Aerospace and Electronic Systems. 61(5):12702-12724
Schlagwörter: censoring, Joint detection and localization, distributed radars, communication constraints
Beschreibung: This paper deals with the joint detection and localization (JDL) problem in distributed monopulse radars considering communication constraints. Initially, we devise a JDL algorithm with unlimited communication rates (JDL-UCR) to realize multi-target detection and localization by directly utilizing raw sampled signals at the fusion center (FC). Theoretically, joint processing of raw data yields superior detection and/or localization performance in distributed radars. However, the extensive data transmission bandwidth required between each local station and the FC is unfeasible, especially in wireless communication-constrained environments. To tackle this challenge, leveraging the theoretical groundwork of the JDL-UCR, we further propose a JDL algorithm with an efficient censoring method (JDL-ECM). In this algorithm, we formulate a regular censoring rule and derive both closed-form and adaptive censoring threshold expressions to effectively exclude the non-essential data of each local station. Additionally, we establish a three-step data updating operation to effectively retain the informative data including moving targets as much as possible. Consequently, the proposed JDL-ECM focuses on alleviating the data communication burden while maintaining superior detection and localization performance. Finally, we provide a comprehensive performance analysis, employing both simulation and real experimental data, to demonstrate the effectiveness of the proposed JDL-ECM algorithm. The analysis showcases its capability to achieve accurate detection and localization results under stringent communication constraints.
Zugangs-URL: https://research.chalmers.se/publication/546982
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Joint Detection and Localization with an Efficient Censoring Method for Distributed Monopulse Radars under Communication Constraints
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lai%2C+Yangming%22">Lai, Yangming</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Shixing%22">Yang, Shixing</searchLink><br /><searchLink fieldCode="AR" term="%22Keskin%2C+Musa+Furkan%22">Keskin, Musa Furkan</searchLink>, 1988<br /><searchLink fieldCode="AR" term="%22Wymeersch%2C+Henk%22">Wymeersch, Henk</searchLink>, 1976<br /><searchLink fieldCode="AR" term="%22Kong%2C+Lingjiang%22">Kong, Lingjiang</searchLink><br /><searchLink fieldCode="AR" term="%22Yi%2C+Wei%22">Yi, Wei</searchLink>
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  Label: Source
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  Data: <i>IEEE Transactions on Aerospace and Electronic Systems</i>. 61(5):12702-12724
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22censoring%22">censoring</searchLink><br /><searchLink fieldCode="DE" term="%22Joint+detection+and+localization%22">Joint detection and localization</searchLink><br /><searchLink fieldCode="DE" term="%22distributed+radars%22">distributed radars</searchLink><br /><searchLink fieldCode="DE" term="%22communication+constraints%22">communication constraints</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This paper deals with the joint detection and localization (JDL) problem in distributed monopulse radars considering communication constraints. Initially, we devise a JDL algorithm with unlimited communication rates (JDL-UCR) to realize multi-target detection and localization by directly utilizing raw sampled signals at the fusion center (FC). Theoretically, joint processing of raw data yields superior detection and/or localization performance in distributed radars. However, the extensive data transmission bandwidth required between each local station and the FC is unfeasible, especially in wireless communication-constrained environments. To tackle this challenge, leveraging the theoretical groundwork of the JDL-UCR, we further propose a JDL algorithm with an efficient censoring method (JDL-ECM). In this algorithm, we formulate a regular censoring rule and derive both closed-form and adaptive censoring threshold expressions to effectively exclude the non-essential data of each local station. Additionally, we establish a three-step data updating operation to effectively retain the informative data including moving targets as much as possible. Consequently, the proposed JDL-ECM focuses on alleviating the data communication burden while maintaining superior detection and localization performance. Finally, we provide a comprehensive performance analysis, employing both simulation and real experimental data, to demonstrate the effectiveness of the proposed JDL-ECM algorithm. The analysis showcases its capability to achieve accurate detection and localization results under stringent communication constraints.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1109/TAES.2025.3575059
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 12702
    Subjects:
      – SubjectFull: censoring
        Type: general
      – SubjectFull: Joint detection and localization
        Type: general
      – SubjectFull: distributed radars
        Type: general
      – SubjectFull: communication constraints
        Type: general
    Titles:
      – TitleFull: Joint Detection and Localization with an Efficient Censoring Method for Distributed Monopulse Radars under Communication Constraints
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            NameFull: Lai, Yangming
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            NameFull: Yang, Shixing
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            NameFull: Keskin, Musa Furkan
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            NameFull: Wymeersch, Henk
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            NameFull: Kong, Lingjiang
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            NameFull: Yi, Wei
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            – D: 01
              M: 01
              Type: published
              Y: 2025
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