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Inversion of Wave Parameters With Shore-Based Coherent <inline-formula><tex-math notation="LaTeX">$S$</tex-math></inline-formula> ;-Band Radar Using Quasi-Binary Variational Mode Decomposition

Zhongqian Hu,Zezong Chen,Chen Zhao, Xi Chen

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING(2024)

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Abstract
Coherent microwave radar utilizes the direct relationship between the orbital wave velocity and the wave height spectrum to retrieve wave parameters. However, due to the broken wave and its evolution, "Group-Line" is introduced in the radar-obtained wavenumber-frequency spectrum, and the dominant wave energy is reduced. Many methods have proposed to remove "Group-Line" in the wavenumber-frequency spectrum, but these methods can only remove low-frequency energy and fail to compensate for the dominant wave energy. To solve this problem, a method for wave parameter inversion using quasi-binary variational mode decomposition (QB-VMD) is proposed. First, QB-VMD decomposes the spatial-temporal radial velocity series, and a series of modes is obtained, including "Group-Line" and dominant wave modes. Second, the "Group-Line" mode is discarded, and the dominant wave mode is compensated appropriately to reconstruct the spatial-temporal radial velocity series. Finally, the wave parameters are retrieved according to the reconstructed spatial-temporal radial velocity series. The proposed method is verified by simulation. In addition, this article uses an eight-day dataset collected by the coherent $S$-band radar deployed at Beishuang island for analysis. The significant wave height and mean wave period are retrieved from the dataset. The wave parameters estimated by the proposed method are compared with the buoy results. The correlation coefficients are 0.97 and 0.80, and the root-mean-square errors are 0.12 m and 0.49 s, respectively. The results show that the proposed method can invert wave parameters using the coherent $S$-band radar with reasonable performance.
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Key words
Radar,Surface waves,Sea surface,Sea measurements,Microwave filters,Microwave theory and techniques,Extraterrestrial measurements,Broken waves,S-band radar,quasibinary variational mode decomposition (QB-VMD),wavenumberfrequency spectrum,wave parameter inversion
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