Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection.
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| Title: | Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection. |
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| Authors: | Wenjie Liu1, Wenfang Qin1, Mingwei Shen2, Guodong Han3 hgd_cetc@163.com |
| Source: | Progress in Electromagnetics Research C. 2025, Vol. 155, p29-35. 7p. |
| Subjects: | Multiple Signal Classification, K-means clustering, Classification algorithms, Electronic systems, Degrees of freedom, Radar interference |
| Abstract: | In complex electromagnetic scenarios where multiple deceptive jamming signals are simultaneously aliased in the timefrequency domain, conventional single-channel electronic detection systems struggle to effectively separate and classify overlapping jamming sources. To address this limitation, this paper investigates an array detection-based classification scheme for multi-source jamming. First, due to the spatial degrees of freedom offered by array systems, the Direction-of-Arrival (DOA) of each jamming source is precisely estimated using the MUSIC algorithm. Then, the adaptive digital beamforming (ADBF) filters are designed based on the estimated DOA parameters, enabling spatial-domain extraction of individual jamming signals. Finally, the DOA information is integrated into the Pulse Description Word (PDW) of each separated jamming measurement, which can facilitate adaptive K-Means clustering with enhanced class separability. Simulation results demonstrate that the proposed method achieves a 22.4% improvement in classification accuracy compared to existing single-channel detection approaches, while maintaining computational efficiency. [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: 185505404 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wenjie+Liu%22">Wenjie Liu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wenfang+Qin%22">Wenfang Qin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mingwei+Shen%22">Mingwei Shen</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Guodong+Han%22">Guodong Han</searchLink><relatesTo>3</relatesTo><i> hgd_cetc@163.com</i> – 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. 155, p29-35. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiple+Signal+Classification%22">Multiple Signal Classification</searchLink><br /><searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink><br /><searchLink fieldCode="DE" term="%22Classification+algorithms%22">Classification algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+systems%22">Electronic systems</searchLink><br /><searchLink fieldCode="DE" term="%22Degrees+of+freedom%22">Degrees of freedom</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+interference%22">Radar interference</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In complex electromagnetic scenarios where multiple deceptive jamming signals are simultaneously aliased in the timefrequency domain, conventional single-channel electronic detection systems struggle to effectively separate and classify overlapping jamming sources. To address this limitation, this paper investigates an array detection-based classification scheme for multi-source jamming. First, due to the spatial degrees of freedom offered by array systems, the Direction-of-Arrival (DOA) of each jamming source is precisely estimated using the MUSIC algorithm. Then, the adaptive digital beamforming (ADBF) filters are designed based on the estimated DOA parameters, enabling spatial-domain extraction of individual jamming signals. Finally, the DOA information is integrated into the Pulse Description Word (PDW) of each separated jamming measurement, which can facilitate adaptive K-Means clustering with enhanced class separability. Simulation results demonstrate that the proposed method achieves a 22.4% improvement in classification accuracy compared to existing single-channel detection approaches, while maintaining computational efficiency. [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/PIERC25022602 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 29 Subjects: – SubjectFull: Multiple Signal Classification Type: general – SubjectFull: K-means clustering Type: general – SubjectFull: Classification algorithms Type: general – SubjectFull: Electronic systems Type: general – SubjectFull: Degrees of freedom Type: general – SubjectFull: Radar interference Type: general Titles: – TitleFull: Efficient High-Precision Classification Algorithm for Radar Deceptive Jamming via Array Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wenjie Liu – PersonEntity: Name: NameFull: Wenfang Qin – PersonEntity: Name: NameFull: Mingwei Shen – PersonEntity: Name: NameFull: Guodong Han IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19378718 Numbering: – Type: volume Value: 155 Titles: – TitleFull: Progress in Electromagnetics Research C Type: main |
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