Review of Shipborne Radar-based Ocean Wave Inversion Methods

LIU Mengmeng; JIANG Yishan; ZHANG Qichao; CHEN Xin; LI Bohan; LIU Jiahao; LI Qian

doi:10.7643/ issn.1672-9242.2025.09.001

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Equipment Environmental Engineering ›› 2025, Vol. 22 ›› Issue (9) : 1-11. DOI: 10.7643/ issn.1672-9242.2025.09.001

Special Topic—Reliability of Ship Equipment

Review of Shipborne Radar-based Ocean Wave Inversion Methods

LIU Mengmeng¹, JIANG Yishan², ZHANG Qichao², CHEN Xin³, LI Bohan¹, LIU Jiahao¹, LI Qian^1,*

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Abstract

On the basis of systematically sorting out the existing research, the work aims to conduct an in-depth analysis on the core principles, key technologies, and application boundaries of the three mainstream approaches, including spectral inversion, Doppler-based modeling, and deep learning and furtherdiscuss the intrinsic relationships and complementarity between physical mechanisms and data characteristics, highlighting the emerging trend of integrating image-based and frequency-domain modeling, and putting forward future development directions for hybrid modeling frameworks.

Key words

shipborne radar / ocean wave inversion / spectrum analysis / Bragg scattering / Doppler shift / machine learning / marine remote sensing

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LIU Mengmeng, JIANG Yishan, ZHANG Qichao, CHEN Xin, LI Bohan, LIU Jiahao, LI Qian. Review of Shipborne Radar-based Ocean Wave Inversion Methods[J]. Equipment Environmental Engineering. 2025, 22(9): 1-11 https://doi.org/10.7643/ issn.1672-9242.2025.09.001

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