Wave Parameter Inversion With Coherent Microwave Radar Using Spectral Proper Orthogonal Decomposition

He, Jiangheng; Chen, Zezong; Zhao, Chen; Chen, Xi; Wei, Yunyu; Zhang, Chunyang

doi:10.1109/tgrs.2022.3203512

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…With the development of remote sensing technology, radar and other remote sensing Since the signals emitted by coherent microwave radar have all determined phase angles, this feature provides the ability to obtain the radial Doppler velocity of the water particle [2], [8]- [11]. The direct relationship between the radial velocity and wave height spectrum can be used to retrieve ocean wave parameters such as significant wave height (H s ) and mean wave period (T av ) [12], [13]. The characteristics of high spatial-temporal resolution enable coherent microwave radar to detect nonlinear details in the sea surface, such as broken waves [14], etc.…”

Section: Introductionmentioning

confidence: 99%

“…Based on this model, Chen et al used a high-pass filter [2] and a dispersion relation filter [17] to obtain relatively accurate significant wave height and mean wave period parameters, respectively. Recently, He et al [12] proposed a spectral proper orthogonal decomposition (SPOD) method, which removes the non-wave contribution and improves the inversion results of ocean wave parameters. Unlike the spatial-temporal dimension approach, Zhao et al [13] recently proposed a method to retrieve ocean wave parameters only from the time Doppler spectrum collected with the coherent S-band radar, which can retrieve ocean wave parameters without spatial observations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Inversion of Wave Parameters With Shore-Based Coherent $S$-Band Radar Using Quasi-Binary Variational Mode Decomposition

Hu,

Chen,

Zhao

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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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, the "Group-Line" is introduced in the radar-obtained wavenumber-frequency spectrum, and the dominant wave energy is reduced. Many methods have proposed to remove the "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 the quasibinary variational mode decomposition (QB-VMD) is proposed. Firstly, the QB-VMD decomposes the spatial-temporal radial velocity series, and a series of modes are obtained, including the "Group-Line" and dominant wave modes. Secondly, 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 paper uses on 8-day data set collected by the coherent Sband radar deployed at the Beishuang island for analysis. The significant wave height and mean wave period are retrieved from the data set. 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 means 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 a reasonable performance.

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