论文标题
IPO：迭代物理光学图像近似
IPO: Iterative Physical Optics Image Approximation
论文作者
论文摘要
提出了一种改进的迭代物理光学（IPO）图像近似方法，以显着提高近似的准确性，并将其适用性扩展到具有较小的半径或较大曲率的PEC表面。从一阶常规PO图像近似开始，IPO图像近似方法迭代地校正表面电流，以补偿PEC表面上电场边界条件的偏差，从而利用了本地平面波近似。进行了两个流行的PEC表面的数值验证，即，与常规PO Image近似方法相比，IPO近似方法的数值验证是进行了抛物线碟形天线和PEC球，结果表明，IPO近似方法将表面电流准确度提高了两个以上的数量级。
An improved Iterative Physical Optics (IPO) image approximation method has been presented to dramatically increase the accuracy of the approximation and extend its applicability to PEC surfaces with smaller radii or larger curvatures. Starting from the first-order conventional PO image approximation, the IPO image approximation method iteratively correct the surface current to compensate the deviation of the electric field boundary condition on the PEC surfaces, making use of the local plane wave approximation. Numerical validations with two popular PEC surfaces, i.e., the parabolic dish antennas and the PEC spheres, are carried out and the results show that the IPO approximation method increases the surface current accuracy by more than two orders of magnitude, compared to the conventional PO image approximation method.
