NDLI: Offshore Surface Evaporation Duct Joint Inversion Algorithm Using Measured Dual-Frequency Sea Clutter

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Offshore Surface Evaporation Duct Joint Inversion Algorithm Using Measured Dual-Frequency Sea Clutter

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Wenjing Zhou Mingwei Shen Yu Zhang Di Wu Daiyin Zhu
Abstract	In this article, high-precision joint inversion of evaporative duct based on the dual-frequency radar sea clutter data is analyzed to study the abnormal duct environmental phenomenon that occurs over offshore surfaces. As the information of duct environment retrieved by radars with different frequencies is inconsistent, a joint optimization model with dynamic penalty factor is proposed, which can improve the degree of conformity between the measured clutter power and the modeled clutter power. Then, a parallel crossover quantum particle swarm optimization algorithm is used to jointly invert the objective function, which adaptively processes the inputs involved in the crossover and effectively improves the convergence of the inversion. Compared with the single-frequency model commonly used in engineering, the average relative error of the duct height of the dual-frequency joint optimization model is reduced by 3.13%, and the average relative error of the duct intensity is reduced by 6.34%, verifying the effectiveness of this method.
Related Links	https://ieeexplore.ieee.org/document/9847395/
e-ISSN	21511535
DOI	10.1109/JSTARS.2022.3195889
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume Number	15
Language	English
Publisher	IEEE
Publisher Date	2022-01-01
Publisher Place	United States
Access Restriction	Open
Subject Keyword	Ocean Engineering Geophysics. Cosmic Physics Dynamic Penalty Factor Evaporation Duct Joint Inversion Objective Function Radar Sea Clutter
Content Type	Text
Resource Type	Article

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