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Predicting far-field RCS from near-field data based on MOM

机译:根据母亲预测来自近场数据的远场RCS

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摘要

A technique to predict far-field RCS from near-field data is described. The method utilizes near-field data to determine equivalent sources over a fictitious surface which encompasses the target made by perfect electric conductor (PEC) and these sources are used to ascertain the far-field RCS. An electric field integral equation (EFIE) is developed to relate the near-field to the equivalent sources. RWG basis function is involved and makes the EFIE simple. The equivalent sources can be expanded by RWG basis function according to method of moments (MOM) procedure. The integral equation can be transformed into a matrix with the equivalent sources decoupling from the equation. The matrix equation is solved with the least squares techniques. Numerical simulation of this technique is presented. The results of the equivalent sources show high accuracy compared to the scattering RCS calculated by the software FEKO.
机译:描述了从近场数据预测远场RCS的技术。该方法利用近场数据来确定虚拟表面上的等效源,其包括由完美的电导体(PEC)制成的目标,并且这些源用于确定远场RCS。开发了电场积分方程(EFIE)以将近场与等效源相关联。 RWG基本功能涉及并使EFIE简单。根据片刻(MOM)程序的方法,可以通过RWG基函数扩展等同来源。可以将积分方程与等效源从等式解耦的等效源转换为矩阵。矩阵方程用最小二乘技术求解。提出了该技术的数值模拟。与软件Feko计算的散射RC相比,等效源的结果显示出高精度。

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