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A New Model for Cross-polarization Scattering from Perfect Conducting Random Rough Surfaces in Backscattering Direction
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cao, Jiahao |
| Copyright Year | 2017 |
| Abstract | Scattering from random rough surface has been of interest for decades. Several methods were proposed to solve this problem, and Kirchhoff approximation (KA) and small perturbation method (SMP) are among the most popular. Both methods provide accurate results on first order scattering, and the range of validity is limited and cross-polarization scattering coefficient is zero for these two methods unless these two methods are carried out for higher orders. Furthermore, it is complicated for higher order formulation and multiple scattering and shadowing are neglected in these classic methods. Extension of these two methods has been made in order to fix these problems. However, it is usually complicated and problem specific. While small slope approximation is one of the most widely used methods to bridge KA and SMP, it is not easy to implement in a general form. Two scale model can be employed to solve scattering problems for a tilted perturbation plane, the range of validity is limited. A new model is proposed in this thesis to deal with cross-polarization scattering phenomenon on perfect electric conducting random surfaces. Integral equation is adopted in this model. While integral equation method is often combined with numerical method to solve the scattering coefficient, the proposed model solves the integral equation iteratively by analytic approximation. We utilize some approximations on the randomness of the surface, and obtain an explicit expression. It is shown that this expression achieves agreement with SMP method in second order. |
| Starting Page | 6 |
| Ending Page | 6 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://repository.asu.edu/attachments/194038/content/Cao_asu_0010N_17458.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
