| Bi-Spectrum Scattering Model for Conducting Randomly Rough Surface |
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| 作者姓名： | 刘宁 李宗谦 |
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| 作者单位： | LIU Ning，LI Zongqian State Key Laboratory on Microwave and Digital Communications，Department of Electronic Engineering，Tsinghua University，Beijing 100084，China |
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| 基金项目： | Supported by the National Natural Science Foundationof China(No.498710 5 7) |
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| 摘 要： | IntroductionThe scattering model for randomly rough surfacesis an important part of microwave remote sensingtheory.However,the scattering from a randomlyrough surface is a very complex problem whichdose not admit closed- formed analytic solutionsfrom the …
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Bi-Spectrum Scattering Model for Conducting Randomly Rough Surface |
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| LIU Ning,LI Zongqian State Key Laboratory on Microwave and Digital Communications.Bi-Spectrum Scattering Model for Conducting Randomly Rough Surface[J].Tsinghua Science and Technology,2002,7(3). |
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| Authors: | LIU Ning LI Zongqian State Key Laboratory on Microwave and Digital Communications |
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| Institution: | LIU Ning,LI Zongqian State Key Laboratory on Microwave and Digital Communications,Department of Electronic Engineering,Tsinghua University,Beijing 100084,China |
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| Abstract: | A scattering model is developed to predict the scattering coefficient of a conducting randomly rough surface by analyzing the randomly rough surface in the spectral domain using the bi-spectrum method. For common randomly rough surfaces without obvious two-scale characteristics, a scale-compression filter can divide the auto-correlation spectrum into two parts with different correlation lengths. The Kirchhoff approximation and the small perturbation method are used to obtain the surface field, then a bistatic scattering model, the bi-spectrum model (BSM), is used to derive an explicit expression from the surface field. Examples using the integral equation model (IEM), finite difference of the time domain (FDTD) method, and BSM show that the BSM accuracy is acceptable and its range of validity is similar to IEM. BSM can also be extended to a scattering model for dielectric randomly rough surfaces. |
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| Keywords: | microwave remote sensing conducting randomly rough surface scattering model spectral domain bi-spectrum scattering model |
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