View in EDS

Coherent DOA estimation via Toeplitz-based tensor decomposition.

Saved in:
Bibliographic Details
Title: Coherent DOA estimation via Toeplitz-based tensor decomposition.
Authors: Ling, Yi1 (AUTHOR) y_l777@nudt.edu.cn, Shi, Junpeng1 (AUTHOR) shijunpeng20@nudt.edu.cn, Yi, Xianzhou1 (AUTHOR) xianzhouyi@whu.edu.cn, Shi, Shuyun1 (AUTHOR) shishuyun21@nudt.edu.cn
Source: AEU: International Journal of Electronics & Communications. Nov2025, Vol. 201, pN.PAG-N.PAG. 1p.
Subjects: Direction of arrival estimation, Decorrelation (Signal processing), Tensor algebra, Signal processing, Covariance matrices, Simulation methods & models
Abstract: Coherent signals encountered in practical electromagnetic environments present significant challenges for high-resolution direction-of-arrival (DOA) estimation. While conventional spatial smoothing-based tensor reconstruction methods neither fully exploit the structural properties of the covariance matrix nor exhibit satisfactory signal decorrelation performance. Therefore, we propose a Toeplitz-tensor-based decorrelation (TTD) algorithm. Specifically, we construct Toeplitz matrices using all the rows of the covariance matrix, which are then stacked as a tensor PARAFAC model. The backward tensor is then built to form an augmented one to improve the performance. Furthermore, we conduct a comprehensive performance analysis for the tensor rank and the computations. Simulation results verify that the TTD not only improves estimation accuracy but also demonstrates stronger resistance to signal correlation effects. [ABSTRACT FROM AUTHOR]
Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. 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.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 187866846
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Coherent DOA estimation via Toeplitz-based tensor decomposition.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ling%2C+Yi%22">Ling, Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> y_l777@nudt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Junpeng%22">Shi, Junpeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shijunpeng20@nudt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yi%2C+Xianzhou%22">Yi, Xianzhou</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> xianzhouyi@whu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Shi%2C+Shuyun%22">Shi, Shuyun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shishuyun21@nudt.edu.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22AEU%3A+International+Journal+of+Electronics+%26+Communications%22">AEU: International Journal of Electronics & Communications</searchLink>. Nov2025, Vol. 201, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Direction+of+arrival+estimation%22">Direction of arrival estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Decorrelation+%28Signal+processing%29%22">Decorrelation (Signal processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Tensor+algebra%22">Tensor algebra</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Covariance+matrices%22">Covariance matrices</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Coherent signals encountered in practical electromagnetic environments present significant challenges for high-resolution direction-of-arrival (DOA) estimation. While conventional spatial smoothing-based tensor reconstruction methods neither fully exploit the structural properties of the covariance matrix nor exhibit satisfactory signal decorrelation performance. Therefore, we propose a Toeplitz-tensor-based decorrelation (TTD) algorithm. Specifically, we construct Toeplitz matrices using all the rows of the covariance matrix, which are then stacked as a tensor PARAFAC model. The backward tensor is then built to form an augmented one to improve the performance. Furthermore, we conduct a comprehensive performance analysis for the tensor rank and the computations. Simulation results verify that the TTD not only improves estimation accuracy but also demonstrates stronger resistance to signal correlation effects. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=187866846
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.aeue.2025.155984
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Direction of arrival estimation
        Type: general
      – SubjectFull: Decorrelation (Signal processing)
        Type: general
      – SubjectFull: Tensor algebra
        Type: general
      – SubjectFull: Signal processing
        Type: general
      – SubjectFull: Covariance matrices
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
    Titles:
      – TitleFull: Coherent DOA estimation via Toeplitz-based tensor decomposition.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ling, Yi
      – PersonEntity:
          Name:
            NameFull: Shi, Junpeng
      – PersonEntity:
          Name:
            NameFull: Yi, Xianzhou
      – PersonEntity:
          Name:
            NameFull: Shi, Shuyun
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 14348411
          Numbering:
            – Type: volume
              Value: 201
          Titles:
            – TitleFull: AEU: International Journal of Electronics & Communications
              Type: main
ResultId 1