scholarly journals The Study on Electromagnetic Scattering Characteristics of Jonswap Spectrum Sea Surface

2019 ◽  
Vol 10 (4) ◽  
pp. 1-8
Author(s):  
Xiaolin Mi ◽  
Xiaobing Wang ◽  
Xinyi He ◽  
Fei Dai
2013 ◽  
Vol 756-759 ◽  
pp. 4586-4590
Author(s):  
Jun Gu ◽  
Kun Cai ◽  
Zi Chang Liang

The simulated PM-spectrum fractal sea surfaces and the 3-D near-field distributed model of horn antenna are built, the near-field formulas of KA method are deduced. The near-field scattering coefficient and the Doppler echo signal of rough sea surfaces are calculated, the agreement with measured data proved the correctness and validity of the near-field scattering model.


2010 ◽  
Vol 22 (9) ◽  
pp. 2119-2123 ◽  
Author(s):  
侯德亭 Hou Deting ◽  
宋航 Song Hang ◽  
陈勇 Chen Yong ◽  
周东方 Zhou Dongfang

2014 ◽  
Vol 533 ◽  
pp. 268-273
Author(s):  
Jia Sheng Tian ◽  
Wan Pan ◽  
Jian Shi

At high sea states strong winds make the sea surface broken, and become a multilayer-rough sea surface made of a large number of foams and droplets. Similarly, if the sea surface covered by oil and other dirts will also belong to the mutilayer rough sea surfaces of various medium properties. In this paper, applying the Kirchhoff Approximation (KA) and the electromagnetic theory of stratified media, electromagnetic scattering characteristics from a multilayer rough medium surface are calculated. Firstly, a detailed analysis of electromagnetic reflection from multilayer parallel interfaces under different incident angles is carried out. Secondly, combining the preceding two results and courses, electromagnetic scattering from the multilayer random rough surfaces is studied. The computed results are in good agreement with those by using the method of moments (MOM) and reported by some experts. Finally, the random rough sea surface covered by spilling oil or droplets and foams is calculated in detail. Compared with MOM, the new approximate analysis method in the paper can avoid a large matrix inversion, and thus greatly reduce the computation time and improve the computational efficiency.


2017 ◽  
Vol 32 (9) ◽  
pp. 1079-1092 ◽  
Author(s):  
Hua Zhao ◽  
Lixin Guo ◽  
Tiange Chen ◽  
Wei Liu

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