Feature-aided Multi-Target Tracking Method in Sea Clutter Using Scanning Radar Data

Maritime multi-target tracking (MTT) is an important application scenario of radar target tracking technology, but it still faces huge challenges such as the interference of sea clutter and the fluctuation of target echoes, which leading to the trajectory fragmentation. Additionally, due to radar sc...

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Bibliographic Details
Published in2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP) pp. 615 - 619
Main Authors Zhu, Yingpei, Wang, Zhen, Yin, Yupei, Chen, Weidong
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.10.2021
Subjects
extended target tracking (ETT)
Fluctuations
gamma Gaussian inverse Wishart-probability hypothesis density (GGIW-PHD)
multiple target tracking (MTT)
Radar
Radar clutter
Radar measurements
Radar tracking
scanning radar data
Sea measurements
Target tracking
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DOI10.1109/ICSIP52628.2021.9688716

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Summary:Maritime multi-target tracking (MTT) is an important application scenario of radar target tracking technology, but it still faces huge challenges such as the interference of sea clutter and the fluctuation of target echoes, which leading to the trajectory fragmentation. Additionally, due to radar scanning, targets are extended in azimuth and cannot be regarded as point targets. In this paper, we construct the feature vector by combining the radar echo data with the extension estimation of targets obtained by gamma Gaussian inverse Wishart-probability hypothesis density (GGIW-PHD) filter. Then, the echo features of targets are introduced into MHT framework and trajectory management module, aiming to reduce trajectory fragmentation and improve the integrity of target trajectory. Finally, the effectiveness of the proposed method is verified by measured data.
DOI:10.1109/ICSIP52628.2021.9688716