Detection of Fast Radar Target Trajectories Using the Hough Transform
Ihor Prokopenko, Serhii Smaliuha · Electronics and Control Systems · 2026
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.