Cumulants-based near-field localization method for cross array.
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| Title: | Cumulants-based near-field localization method for cross array. |
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| Authors: | Shi, Heping1 (AUTHOR) shiheping@tju.edu.cn, Weng, Xinyu1 (AUTHOR) 0721231020@tute.edu.cn, Yan, Guanghui1 (AUTHOR) yanguanghui@tute.edu.cn, Li, Zhuo2 (AUTHOR) zli@tju.edu.cn, Hou, Haijing1 (AUTHOR) houhj@tute.edu.cn |
| Source: | Circuits, Systems & Signal Processing. Jul2025, Vol. 44 Issue 7, p5357-5370. 14p. |
| Subjects: | Multiple Signal Classification, Cumulants, Angles, Algorithms, Crosses |
| Abstract: | A direction-finding algorithm based on the cross array with the fourth-order cumulants (FOC) is proposed to cope with the near-field (NF) sources localization problem. By generating a FOC matrix on the X-axis, the quadratic term in the phase delay could be eliminated, and the received data on the uniform linear array (ULA) corresponding to the X-axis is converted into pseudo-data for the virtual far-field (FF) that subsequently operated by the vectorization. With several sampling delay to construct a covariance-like matrix, the estimates of the electrical angle α and range can be obtained by two multiple signal classification (MUSIC) algorithm in turn. And the same procedure can be used on the Y-axis to obtain the estimates of respective electrical angle θ and range. Simple pairing process is performed on the two-dimensional (2-D) electrical angle, and range. Simulation results illustrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR] |
| Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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 |
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| Header | DbId: egs DbLabel: Engineering Source An: 186308682 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Cumulants-based near-field localization method for cross array. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shi%2C+Heping%22">Shi, Heping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> shiheping@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Weng%2C+Xinyu%22">Weng, Xinyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 0721231020@tute.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Guanghui%22">Yan, Guanghui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yanguanghui@tute.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Zhuo%22">Li, Zhuo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zli@tju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Hou%2C+Haijing%22">Hou, Haijing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> houhj@tute.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Circuits%2C+Systems+%26+Signal+Processing%22">Circuits, Systems & Signal Processing</searchLink>. Jul2025, Vol. 44 Issue 7, p5357-5370. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiple+Signal+Classification%22">Multiple Signal Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Cumulants%22">Cumulants</searchLink><br /><searchLink fieldCode="DE" term="%22Angles%22">Angles</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Crosses%22">Crosses</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A direction-finding algorithm based on the cross array with the fourth-order cumulants (FOC) is proposed to cope with the near-field (NF) sources localization problem. By generating a FOC matrix on the X-axis, the quadratic term in the phase delay could be eliminated, and the received data on the uniform linear array (ULA) corresponding to the X-axis is converted into pseudo-data for the virtual far-field (FF) that subsequently operated by the vectorization. With several sampling delay to construct a covariance-like matrix, the estimates of the electrical angle α and range can be obtained by two multiple signal classification (MUSIC) algorithm in turn. And the same procedure can be used on the Y-axis to obtain the estimates of respective electrical angle θ and range. Simple pairing process is performed on the two-dimensional (2-D) electrical angle, and range. Simulation results illustrate the effectiveness of the proposed algorithm. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Circuits, Systems & Signal Processing is the property of Springer Nature 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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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00034-025-03057-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 5357 Subjects: – SubjectFull: Multiple Signal Classification Type: general – SubjectFull: Cumulants Type: general – SubjectFull: Angles Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Crosses Type: general Titles: – TitleFull: Cumulants-based near-field localization method for cross array. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shi, Heping – PersonEntity: Name: NameFull: Weng, Xinyu – PersonEntity: Name: NameFull: Yan, Guanghui – PersonEntity: Name: NameFull: Li, Zhuo – PersonEntity: Name: NameFull: Hou, Haijing IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0278081X Numbering: – Type: volume Value: 44 – Type: issue Value: 7 Titles: – TitleFull: Circuits, Systems & Signal Processing Type: main |
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