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Application of Higher Order MOM for RCS

机译:高阶MOM在RCS中的应用

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摘要

RCS data is the most important source for SAR processing.For electrically large targets,high accuracy and efficiency calculation is a very difficult topic.Higher order moment method is a Galerkin type version of MOM based on integral equation.It uses entire domain basis function in relatively large patches.Compared with sub-domain basis function,such as RWG,this method can reduce unknowns distinctly.It provides possibilities for electrically large models simulation.This paper adopts bilinear quadrilateral elements as the modelling method and higher order hierarchical polynomial expansion as the basis function.This kind of basis function can use different orders on different elements in order to get the highest efficiency.Based on this theory,codes were made to test its accuracy and efficiency.NASA almond and sphere,two classical metallic RCS test targets,are solved with the codes.Simulation results are identical with the measured and the analytical data.
机译:RCS数据是SAR处理的最重要来源。对于电大目标而言,高精度和高效率计算是一个非常困难的话题。高阶矩方法是基于积分方程的MOM的Galerkin型版本,它使用了整个域基函数与子域基函数(如RWG)相比,该方法可以显着减少未知数。这为电大模型仿真提供了可能性。本文采用双线性四边形元素作为建模方法,并采用高阶层次多项式展开作为模型。这种基函数可以在不同的元素上使用不同的阶数以获得最高的效率。基于此理论,编写了代码以测试其准确性和效率。NASA杏仁和球体,两个经典的金属RCS测试目标,用代码求解。模拟结果与测得的和分析的数据相同。

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