Research on modeling and feature extraction of maritime vessel targets based on micro-Doppler effect characteristics

Fan Cai; Yuesong Jiang; Tongbo Zhu

doi:10.1117/12.3053319

3 January 2025 Research on modeling and feature extraction of maritime vessel targets based on micro-Doppler effect characteristics

Fan Cai, Yuesong Jiang, Tongbo Zhu

Author Affiliations +

Proceedings Volume 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024); 134420O (2025) https://doi.org/10.1117/12.3053319
Event: Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 2024, Kaifeng, China

Abstract

The micro-Doppler effect captures the fine motion characteristics of maritime targets, serving as a crucial feature for distinguishing between sea clutter and targets, thereby enhancing radar target detection and recognition capabilities. In this study, a long-term radar echo model for micro-motion targets in sea clutter is established using maritime surveillance radar. By analyzing the morphological differences between constant-velocity targets and micro-motion clutter in Short-Time Fourier Transform (STFT) spectrograms, a sliding window cancellation method based on STFT spectrograms is proposed to remove micro-motion clutter. This method effectively separates target echoes from micro-motion clutter, facilitating the extraction of micro-motion target features. Both simulation and experimental results validate the effectiveness of the proposed method, laying a theoretical foundation for advancing maritime vessel detection and recognition.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fan Cai, Yuesong Jiang, and Tongbo Zhu "Research on modeling and feature extraction of maritime vessel targets based on micro-Doppler effect characteristics", Proc. SPIE 13442, Fifth International Conference on Signal Processing and Computer Science (SPCS 2024), 134420O (3 January 2025); https://doi.org/10.1117/12.3053319

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