期刊
IEEE ACCESS
卷 8, 期 -, 页码 69593-69600出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2986499
关键词
Marine vehicles; Sea surface; Kelvin; Surface waves; Optical surface waves; Aerodynamics; Surface treatment; Kelvin wake; time-varying sea surface; dynamic mode decomposition; reconstruction; location
资金
- Research Grants Council of Hong Kong [GRF 17209918, GRF 17207114, GRF 17210815]
- Asian Office of Aerospace Research and Development [FA2386-17-1-0010]
- National Natural Science Foundation [61271158]
- HKU Seed Fund [104005008, 201711159228]
- Hong Kong University Grants Committee [AoE/P-04/08]
Because the ship wake spreads into an area much larger than that of the ship hull in the sea surface, it has been widely used in the ship detection. However, due to the complex sea wave motion and the high sea state, the ship wake detection is still a challenging task. In this paper, we propose a novel data-driven method based on dynamic mode decomposition (DMD) to detect, reconstruct, and locate the Kelvin wake on the two-dimensional dynamic sea surface. Through the proposed method, the sea's dynamic characteristics including the oscillation frequency and decay/growth rate of ship wakes and the time-varying sea surface can be obtained. Meanwhile, the spatial features of ship wakes can be derived by dynamic modes as well. The proposed method can distinguish the dynamic characteristics between the Kelvin wake and sea background. Then the corresponding modes of the Kelvin wake can be successfully identified. The proposed method is demonstrated by analyzing a 2D sea surface where the Kelvin ship wake is superposed. It is found that our new approach provides an effective and accurate ship detection, even in the case of high sea states. Meanwhile, the extracted mode of the wake shows the ship position clearly with very high resolution.
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