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Dwell Time Allocation Algorithm for Multiple Target Tracking in LPI Radar Network Based on Cooperative Game.

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Název: Dwell Time Allocation Algorithm for Multiple Target Tracking in LPI Radar Network Based on Cooperative Game.
Autoři: Xue, Chenyan, Wang, Ling, Zhu, Daiyin
Zdroj: Sensors (14248220); Oct2020, Vol. 20 Issue 20, p5944, 1p
Témata: MULTIPLE target tracking, TIME management, TRACKING radar, ALGORITHMS, COOPERATIVE game theory
Abstrakt: To solve the problem of dwell time management for multiple target tracking in Low Probability of Intercept (LPI) radar network, a Nash bargaining solution (NBS) dwell time allocation algorithm based on cooperative game theory is proposed. This algorithm can achieve the desired low interception performance by optimizing the allocation of the dwell time of each radar under the constraints of the given target detection performance, minimizing the total dwell time of radar network. By introducing two variables, dwell time and target allocation indicators, we decompose the dwell time and target allocation into two subproblems. Firstly, combining the Lagrange relaxation algorithm with the Newton iteration method, we derive the iterative formula for the dwell time of each radar. The dwell time allocation of the radars corresponding to each target is obtained. Secondly, we use the fixed Hungarian algorithm to determine the target allocation scheme based on the dwell time allocation results. Simulation results show that the proposed algorithm can effectively reduce the total dwell time of the radar network, and hence, improve the LPI performance. [ABSTRACT FROM AUTHOR]
Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Dwell Time Allocation Algorithm for Multiple Target Tracking in LPI Radar Network Based on Cooperative Game.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xue%2C+Chenyan%22">Xue, Chenyan</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Ling%22">Wang, Ling</searchLink><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Daiyin%22">Zhu, Daiyin</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Sensors (14248220); Oct2020, Vol. 20 Issue 20, p5944, 1p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22MULTIPLE+target+tracking%22">MULTIPLE target tracking</searchLink><br /><searchLink fieldCode="DE" term="%22TIME+management%22">TIME management</searchLink><br /><searchLink fieldCode="DE" term="%22TRACKING+radar%22">TRACKING radar</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink><br /><searchLink fieldCode="DE" term="%22COOPERATIVE+game+theory%22">COOPERATIVE game theory</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To solve the problem of dwell time management for multiple target tracking in Low Probability of Intercept (LPI) radar network, a Nash bargaining solution (NBS) dwell time allocation algorithm based on cooperative game theory is proposed. This algorithm can achieve the desired low interception performance by optimizing the allocation of the dwell time of each radar under the constraints of the given target detection performance, minimizing the total dwell time of radar network. By introducing two variables, dwell time and target allocation indicators, we decompose the dwell time and target allocation into two subproblems. Firstly, combining the Lagrange relaxation algorithm with the Newton iteration method, we derive the iterative formula for the dwell time of each radar. The dwell time allocation of the radars corresponding to each target is obtained. Secondly, we use the fixed Hungarian algorithm to determine the target allocation scheme based on the dwell time allocation results. Simulation results show that the proposed algorithm can effectively reduce the total dwell time of the radar network, and hence, improve the LPI performance. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/s20205944
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        Text: English
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      – SubjectFull: MULTIPLE target tracking
        Type: general
      – SubjectFull: TIME management
        Type: general
      – SubjectFull: TRACKING radar
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      – SubjectFull: ALGORITHMS
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      – SubjectFull: COOPERATIVE game theory
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      – TitleFull: Dwell Time Allocation Algorithm for Multiple Target Tracking in LPI Radar Network Based on Cooperative Game.
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              Text: Oct2020
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