Detection of Fast Radar Target Trajectories Using the Hough Transform

Authors

DOI:

https://doi.org/10.18372/1990-5548.88.20972

Keywords:

hough transform, radar detection, multi-target detection, trajectory estimation, K-distribution, clutter suppression

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.

Author Biographies

Ihor Prokopenko , State University "Kyiv Aviation Institute"

Doctor of Technical Sciences

Professor

Faculty of Air Navigation, Electronics and Telecommunications

Serhii Smaliuha , State University "Kyiv Aviation Institute"

Postgraduate Student

Faculty of Air Navigation, Electronics and Telecommunications

References

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Published

2026-04-19

How to Cite

Prokopenko , I., & Smaliuha , S. (2026). Detection of Fast Radar Target Trajectories Using the Hough Transform. Electronics and Control Systems, 2(88), 102–110. https://doi.org/10.18372/1990-5548.88.20972

Issue

Vol. 2 No. 88 (2026)

Section

ELECTRONICS, ELECTRONIC COMMUNICATIONS, INSTRUMENTATION AND RADIO ENGINEERING

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