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

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 frequen...

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Veröffentlicht in:IEEE journal of selected topics in applied earth observations and remote sensing Jg. 15; S. 6382 - 6390
Hauptverfasser: Zhou, Wenjing, Shen, Mingwei, Zhang, Yu, Wu, Di, Zhu, Daiyin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Clutter
Ducts
Dynamic penalty factor
Evaporation
evaporation duct
Information retrieval
joint inversion
Linear programming
Objective function
Offshore
Optimization
Optimization models
Particle swarm optimization
Radar
Radar clutter
Radar measurements
radar sea clutter
Sea measurements
Surface clutter
ISSN:1939-1404, 2151-1535
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:1939-1404
2151-1535
DOI:10.1109/JSTARS.2022.3195889