DETECTION OF FAST RADAR TARGET TRAJECTORIES USING THE HOUGH TRANSFORM.
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| Title: | DETECTION OF FAST RADAR TARGET TRAJECTORIES USING THE HOUGH TRANSFORM. |
|---|---|
| Alternate Title: | Виявлення швидких радіолокаційних цілей за допомогою перетворення Хафа. |
| Authors: | Prokopenko, Igor1 ihor.prokopenko@npp.kai.edu.ua, Smaliuha, Serhiy1 8967872@stud.kai.edu.ua |
| Source: | Electronics & Control Systems. 2026, Vol. 88 Issue 2, p102-110. 9p. |
| Subjects: | Radar targets, Hough transforms, Signal processing, Monte Carlo method, Multiple target tracking, Trajectory measurements, Clutter (Radar) |
| Abstract: | This paper addresses the problem of detecting trajectories of fast-moving radar targets in the presence of noise, missed detections, and K-distributed clutter. A Hough transform-based method is proposed using a physically interpretable parameterization in terms of initial range and velocity. An iterative multi-target detection procedure based on peak extraction and subsequent removal of the found control points, which allows separating even those trajectories that may intersect without data association. A weighted voting scheme based on signal intensity is introduced to improve robustness under low SNR conditions. Performance is evaluated using Monte-Carlo simulations. Results show high track detection probability and robustness to missed detections and clutter. The method is suitable for track initiation in multi-target radar systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Electronics & Control Systems is the property of National Aviation University 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: 193870791 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DETECTION OF FAST RADAR TARGET TRAJECTORIES USING THE HOUGH TRANSFORM. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Виявлення швидких радіолокаційних цілей за допомогою перетворення Хафа. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Prokopenko%2C+Igor%22">Prokopenko, Igor</searchLink><relatesTo>1</relatesTo><i> ihor.prokopenko@npp.kai.edu.ua</i><br /><searchLink fieldCode="AR" term="%22Smaliuha%2C+Serhiy%22">Smaliuha, Serhiy</searchLink><relatesTo>1</relatesTo><i> 8967872@stud.kai.edu.ua</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Electronics+%26+Control+Systems%22">Electronics & Control Systems</searchLink>. 2026, Vol. 88 Issue 2, p102-110. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Radar+targets%22">Radar targets</searchLink><br /><searchLink fieldCode="DE" term="%22Hough+transforms%22">Hough transforms</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+target+tracking%22">Multiple target tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Trajectory+measurements%22">Trajectory measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Clutter+%28Radar%29%22">Clutter (Radar)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper addresses the problem of detecting trajectories of fast-moving radar targets in the presence of noise, missed detections, and K-distributed clutter. A Hough transform-based method is proposed using a physically interpretable parameterization in terms of initial range and velocity. An iterative multi-target detection procedure based on peak extraction and subsequent removal of the found control points, which allows separating even those trajectories that may intersect without data association. A weighted voting scheme based on signal intensity is introduced to improve robustness under low SNR conditions. Performance is evaluated using Monte-Carlo simulations. Results show high track detection probability and robustness to missed detections and clutter. The method is suitable for track initiation in multi-target radar systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Electronics & Control Systems is the property of National Aviation University 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: 10.18372/1990-5548.88.20972 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 102 Subjects: – SubjectFull: Radar targets Type: general – SubjectFull: Hough transforms Type: general – SubjectFull: Signal processing Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Multiple target tracking Type: general – SubjectFull: Trajectory measurements Type: general – SubjectFull: Clutter (Radar) Type: general Titles: – TitleFull: DETECTION OF FAST RADAR TARGET TRAJECTORIES USING THE HOUGH TRANSFORM. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prokopenko, Igor – PersonEntity: Name: NameFull: Smaliuha, Serhiy IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19905548 Numbering: – Type: volume Value: 88 – Type: issue Value: 2 Titles: – TitleFull: Electronics & Control Systems Type: main |
| ResultId | 1 |