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Research For Scattering Cross Section Of Random Rough Surface

Posted on:2019-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:J F GuoFull Text:PDF
GTID:2348330569995428Subject:Engineering
Abstract/Summary:PDF Full Text Request
The electromagnetic scattering research on random rough surfaces has always been of great value and significance.Because of the ups and downs of the earth,winds or waves or slight ripples in the sea can actually be modeled as random rough surfaces.In the study of electromagnetic scattering,electromagnetic scattering of random rough surfaces has always been a lot of research difficulties,because it has important practical value,there are still a lot of researchers to carry out in-depth study.In the past,traditional random methods such as physical optics and geometric optics have been used to analyze random rough surfaces.In recent decades,many researchers began to use numerical methods to calculate RCS values of random rough surfaces.However,when the random rough surface is combined with the target,the size of the target on the rough surface is relatively small and the size of the split is much smaller than the wavelength.There is a low frequency problem when using the moment method.On the problem of low-frequency collapse,breakthroughs have also been made in recent years.Incremental integral equations are one of the important methods for solving low frequency problems.Therefore,this paper will use the incremental integral equation method to calculate the RCS value of the random rough surface,and solve the low frequency collapse problem when the traditional numerical method calculates the RCS of the random rough surface and the target compound.The content to be studied in the article is:Firstly,the theoretical methods used to calculate the random rough surface and the random rough surface and the target compounding are studied.This paper mainly introduces two important numerical methods: MOM,a new type of integral equation method.Based on the theory,the relevant formulas are deduced,and the new integral equation method to solve the low frequency problem is further studied.This can solve the low-frequency collapse problem of electromagnetic scattering combined with the random rough surface and the target.Finally,the fast method of solving the moment method and the new integral equation is studied.Multilayer fast multipole acceleration algorithm.Based on the explanation of theoretical knowledge and the derivation of the formula,the MOM and incremental integral equation algorithm and acceleration algorithm are obtained.This is the core algorithm to use the C++ language programming simulation calculation electromagnetic software,including the MOM method to calculate the random rough surface,and the incremental integral equation algorithm to calculate the random rough surface and the compound target,using the Microsoft Visual C++ 6.0 programming platform to make settings Parameters,import data model visualization.Then,the theory of model establishment and the related formulae of the twodimensional random rough surface are introduced in detail.Then the three-dimensional model is simulated by the MATLAB software using the random rough surface and the random rough surface and the target using the linear filtering method.The FEKO commercial software is used to perform the subdivision.The rough surface is singledivided,and the random rough surface and the target composite are mixed and subdivided so that the shape features of the target body can be more realistically represented.Finally,the self-programming software was used to calculate the RCS values of random rough surfaces with different correlation lengths and different root mean square heights,and random rough surfaces and composite targets.The results of the calculation are compared with the data of the Multilayer Fast Multipole Method(MLFMA)that can calculate the low-frequency problem in the FEKO commercial software.It validates the accuracy,efficiency,and fastness of the calculation of the random rough surface at the low frequency and the excellent features of resource saving.
Keywords/Search Tags:random rough surface, augmented electric field integral equation, lowfrequency collapse, software develop
PDF Full Text Request
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