View in EDS

Joint Collaborative Radar Selection and Transmit Resource Allocation in Multiple Distributed Radar Networks with Imperfect Detection Performance

Saved in:
Bibliographic Details
Title: Joint Collaborative Radar Selection and Transmit Resource Allocation in Multiple Distributed Radar Networks with Imperfect Detection Performance
Authors: Chenguang SHI, Zhicheng TANG, Jianjiang ZHOU, Junkun YAN, Ziwei WANG
Source: Leida xuebao, Vol 13, Iss 3, Pp 565-583 (2024)
Publisher Information: China Science Publishing & Media Ltd. (CSPM)
Publication Year: 2024
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: radar resource allocation, multiple distributed radar networks, multitarget tracking, imperfect detection, bayesian cramér-rao lower bound (bcrlb), Electricity and magnetism, QC501-766
Description: In this study, a collaborative radar selection and transmit resource allocation strategy is proposed for multitarget tracking applications in multiple distributed phased array radar networks with imperfect detection performance. The closed-form expression for the Bayesian Cramér-Rao Lower Bound (BCRLB) with imperfect detection performance is obtained and adopted as the criterion function to characterize the precision of target state estimates. The key concept of the developed strategy is to collaboratively adjust the radar node selection, transmitted power, and effective bandwidth allocation of multiple distributed phased array radar networks to minimize the total transmit power consumption in an imperfect detection environment. This will be achieved under the constraints of the predetermined tracking accuracy requirements of multiple targets and several illumination resource budgets to improve its radio frequency stealth performance. The results revealed that the formulated problem is a mixed-integer programming, nonlinear, and nonconvex optimization model. By incorporating the barrier function approach and cyclic minimization technique, an efficient four-step-based solution methodology is proposed to solve the resulting optimization problem. The numerical simulation examples demonstrate that the proposed strategy can effectively reduce the total power consumption of multiple distributed phased array radar networks by at least 32.3% and improve its radio frequency stealth performance while meeting the given multitarget tracking accuracy requirements compared with other existing algorithms.
Document Type: article in journal/newspaper
Language: English
Chinese
Relation: https://doaj.org/toc/2095-283X; https://doaj.org/article/55ff1c4038f0443a8c298b0d46d2304d
DOI: 10.12000/JR23081
Availability: https://doi.org/10.12000/JR23081
https://doaj.org/article/55ff1c4038f0443a8c298b0d46d2304d
Accession Number: edsbas.2DA79666
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://doi.org/10.12000/JR23081#
    Name: EDS - BASE (s4221598)
    Category: fullText
    Text: View record from BASE
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=SHI%20C
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsbas
DbLabel: BASE
An: edsbas.2DA79666
RelevancyScore: 969
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 968.605590820313
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Joint Collaborative Radar Selection and Transmit Resource Allocation in Multiple Distributed Radar Networks with Imperfect Detection Performance
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chenguang+SHI%22">Chenguang SHI</searchLink><br /><searchLink fieldCode="AR" term="%22Zhicheng+TANG%22">Zhicheng TANG</searchLink><br /><searchLink fieldCode="AR" term="%22Jianjiang+ZHOU%22">Jianjiang ZHOU</searchLink><br /><searchLink fieldCode="AR" term="%22Junkun+YAN%22">Junkun YAN</searchLink><br /><searchLink fieldCode="AR" term="%22Ziwei+WANG%22">Ziwei WANG</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Leida xuebao, Vol 13, Iss 3, Pp 565-583 (2024)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: China Science Publishing & Media Ltd. (CSPM)
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2024
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Directory of Open Access Journals: DOAJ Articles
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22radar+resource+allocation%22">radar resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22multiple+distributed+radar+networks%22">multiple distributed radar networks</searchLink><br /><searchLink fieldCode="DE" term="%22multitarget+tracking%22">multitarget tracking</searchLink><br /><searchLink fieldCode="DE" term="%22imperfect+detection%22">imperfect detection</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="%22Electricity+and+magnetism%22">Electricity and magnetism</searchLink><br /><searchLink fieldCode="DE" term="%22QC501-766%22">QC501-766</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: In this study, a collaborative radar selection and transmit resource allocation strategy is proposed for multitarget tracking applications in multiple distributed phased array radar networks with imperfect detection performance. The closed-form expression for the Bayesian Cramér-Rao Lower Bound (BCRLB) with imperfect detection performance is obtained and adopted as the criterion function to characterize the precision of target state estimates. The key concept of the developed strategy is to collaboratively adjust the radar node selection, transmitted power, and effective bandwidth allocation of multiple distributed phased array radar networks to minimize the total transmit power consumption in an imperfect detection environment. This will be achieved under the constraints of the predetermined tracking accuracy requirements of multiple targets and several illumination resource budgets to improve its radio frequency stealth performance. The results revealed that the formulated problem is a mixed-integer programming, nonlinear, and nonconvex optimization model. By incorporating the barrier function approach and cyclic minimization technique, an efficient four-step-based solution methodology is proposed to solve the resulting optimization problem. The numerical simulation examples demonstrate that the proposed strategy can effectively reduce the total power consumption of multiple distributed phased array radar networks by at least 32.3% and improve its radio frequency stealth performance while meeting the given multitarget tracking accuracy requirements compared with other existing algorithms.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English<br />Chinese
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://doaj.org/toc/2095-283X; https://doaj.org/article/55ff1c4038f0443a8c298b0d46d2304d
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.12000/JR23081
– Name: URL
  Label: Availability
  Group: URL
  Data: https://doi.org/10.12000/JR23081<br />https://doaj.org/article/55ff1c4038f0443a8c298b0d46d2304d
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.2DA79666
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.2DA79666
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.12000/JR23081
    Languages:
      – Text: English
      – Text: Chinese
    Subjects:
      – SubjectFull: radar resource allocation
        Type: general
      – SubjectFull: multiple distributed radar networks
        Type: general
      – SubjectFull: multitarget tracking
        Type: general
      – SubjectFull: imperfect detection
        Type: general
      – SubjectFull: bayesian cramér-rao lower bound (bcrlb)
        Type: general
      – SubjectFull: Electricity and magnetism
        Type: general
      – SubjectFull: QC501-766
        Type: general
    Titles:
      – TitleFull: Joint Collaborative Radar Selection and Transmit Resource Allocation in Multiple Distributed Radar Networks with Imperfect Detection Performance
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chenguang SHI
      – PersonEntity:
          Name:
            NameFull: Zhicheng TANG
      – PersonEntity:
          Name:
            NameFull: Jianjiang ZHOU
      – PersonEntity:
          Name:
            NameFull: Junkun YAN
      – PersonEntity:
          Name:
            NameFull: Ziwei WANG
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: Leida xuebao
              Type: main
ResultId 1