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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]
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Database: Engineering Source
Description
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]
ISSN:19905548
DOI:10.18372/1990-5548.88.20972