A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)

Yu Fan Yuan Jie

Hao Tianduo, Cui Chen, Gong Yang, Sun Congyi. Waveform Design for Cognitive Radar Under Low PAR Constraints by Convex Optimization[J]. Journal of Radars, 2018, 7(4): 498-506. doi: 10.12000/JR18002
Citation: Yu Fan, Yuan Jie. A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)[J]. Journal of Radars, 2015, 4(5): 560-570. doi: 10.12000/JR15067
郝天铎, 崔琛, 龚阳, 孙从易. 基于凸优化方法的认知雷达低峰均比波形设计[J]. 雷达学报, 2018, 7(4): 498-506. doi: 10.12000/JR18002
引用本文: 余凡, 袁捷. 一种改进的随机粗糙地表的双尺度微波散射模型研究(英文)[J]. 雷达学报, 2015, 4(5): 560-570. doi: 10.12000/JR15067

A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface

DOI: 10.12000/JR15067
Funds: 

Supported by the National Key Basic Research Program of China (2013CB733400), the National Natural Science Foundation of China (Grant Number: 41471299), and the Key Projects in the National Science and Technology Pillar Program (2012BAH28B03).

  • 摘要:

    本文提出一种新的双尺度(Modified Two-Scale Model, MTSM)粗糙度地表微波散射模型,采用小波包变换的方法将面上的粗糙度(z(x, y))变换到频域进行处理,粗糙度频谱的低频部分代表大尺度分量,高频部分代表小尺度分量,然后分别用基尔霍夫近似和小扰动模型来分别模拟大小尺度的粗糙度,考虑到小尺度的粗糙度是叠于大尺度粗糙度之上,模型在计算小尺度粗糙度的后向散射贡献时还考虑了大尺度起伏造成的几何倾斜。MTSM的解为大尺度粗糙度的基尔霍夫解加上几何倾斜修正后的小尺度粗糙度的小扰动解。最后采用改进的积分方程模型(AIEM)对MTSM做了初步的验证,结果表明在入射角i30,粗糙度较小(ks=0.354)的时候,MTSM有比较好的精度。

     

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出版历程
  • 收稿日期:  2015-05-28
  • 修回日期:  2015-10-27
  • 网络出版日期:  2015-10-28

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