Direction-of-Arrival Estimation Method of Single Snapshot Coherent Source Based on Hyperbolic Tangent Kernel Correntropy.
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| Title: | Direction-of-Arrival Estimation Method of Single Snapshot Coherent Source Based on Hyperbolic Tangent Kernel Correntropy. |
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| Authors: | Hongyuan Gao1 gaohongyuan@hrbeu.edu.cn, Kailong Liu1, Ying Guo1 |
| Source: | Progress in Electromagnetics Research C. 2025, Vol. 152, p81-89. 9p. |
| Subjects: | Burst noise, Monte Carlo method, Optimization algorithms, Direction of arrival estimation, Signal-to-noise ratio |
| Abstract: | To solve the problem of low accuracy and real-time performance of direction of arrival (DOA) estimation in an impulsive noise environment, this paper proposes a single-snapshot DOA estimation method based on the median deviation correntropy of hyperbolic tangent kerne and designs an intelligent optimization algorithm for the segmentation and hunting mechanism of gold long-nosed raccoon to obtain accurate DOA estimation angle. The DOA estimation method proposed in this paper uses spatial smoothing technology to process the median deviation correntropy of single snapshot data, and then uses the hyperbolic tangent kernel to remove impulse noise from the pseudo-covariance matrix. The weighted signal subspace fitting method is used to obtain the accurate DOA estimation angle. The Monte Carlo analysis experiments of different schemes are verified, especially in the case of a single snapshot, low generalized signal-to-noise ratio (GSNR), and strong impulse noise. [ABSTRACT FROM AUTHOR] |
| Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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 | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 183478411 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Direction-of-Arrival Estimation Method of Single Snapshot Coherent Source Based on Hyperbolic Tangent Kernel Correntropy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hongyuan+Gao%22">Hongyuan Gao</searchLink><relatesTo>1</relatesTo><i> gaohongyuan@hrbeu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Kailong+Liu%22">Kailong Liu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ying+Guo%22">Ying Guo</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Progress+in+Electromagnetics+Research+C%22">Progress in Electromagnetics Research C</searchLink>. 2025, Vol. 152, p81-89. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Burst+noise%22">Burst noise</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Direction+of+arrival+estimation%22">Direction of arrival estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To solve the problem of low accuracy and real-time performance of direction of arrival (DOA) estimation in an impulsive noise environment, this paper proposes a single-snapshot DOA estimation method based on the median deviation correntropy of hyperbolic tangent kerne and designs an intelligent optimization algorithm for the segmentation and hunting mechanism of gold long-nosed raccoon to obtain accurate DOA estimation angle. The DOA estimation method proposed in this paper uses spatial smoothing technology to process the median deviation correntropy of single snapshot data, and then uses the hyperbolic tangent kernel to remove impulse noise from the pseudo-covariance matrix. The weighted signal subspace fitting method is used to obtain the accurate DOA estimation angle. The Monte Carlo analysis experiments of different schemes are verified, especially in the case of a single snapshot, low generalized signal-to-noise ratio (GSNR), and strong impulse noise. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Progress in Electromagnetics Research C is the property of Electromagnetics Academy 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: 10.2528/PIERC24120403 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 81 Subjects: – SubjectFull: Burst noise Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Optimization algorithms Type: general – SubjectFull: Direction of arrival estimation Type: general – SubjectFull: Signal-to-noise ratio Type: general Titles: – TitleFull: Direction-of-Arrival Estimation Method of Single Snapshot Coherent Source Based on Hyperbolic Tangent Kernel Correntropy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hongyuan Gao – PersonEntity: Name: NameFull: Kailong Liu – PersonEntity: Name: NameFull: Ying Guo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 152 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
| ResultId | 1 |