Improved Target Trajectory Reconstruction in HFSWRs Using a DBSCAN Clustering Algorithm

In this paper we propose the enhanced method for target trajectory reconstruction in High Frequency Surface Wave Radars using DBSCAN clustering algorithm. The goal is to improve the accuracy and reliability of reconstructed trajectories by clustering detections obtained by radar's high-resoluti...

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Bibliographic Details
Main Authors: Loncarevic, Zoran, Golubovic, Dragan
Format: Conference Proceeding
Language:English
Subjects:
Clustering algorithms
DBSCAN
HFSWR
maritime survaillance
OTHR
Radar tracking
Signal processing
Signal processing algorithms
Surface reconstruction
Surface waves
Target tracking
vessel tracking
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Summary:In this paper we propose the enhanced method for target trajectory reconstruction in High Frequency Surface Wave Radars using DBSCAN clustering algorithm. The goal is to improve the accuracy and reliability of reconstructed trajectories by clustering detections obtained by radar's high-resolution primary signal processing. Although the paper does not focus directly on the trajectory creation from obtained clusters, it demonstrates how clustering can be successfully applied along known vessel trajectories which are verified by Automatic Identification System data. The experimentally obtained results confirm the validity of the proposed method which has significant potentials for further performance improvement of maritime vessel tracking.
ISSN:2637-9511
DOI:10.1109/MECO62516.2024.10577931