Machine Learning for 2-D Scattering Analysis using Method of Moments

Dragan Olcan,Jovana Petrovic,Branko Kolundzija

2020 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND NORTH AMERICAN RADIO SCIENCE MEETING（2020）

引用 2|浏览0

暂无评分

摘要

Machine learning is used to determine the polynomial regression of the coefficients of surface currents approximation for a curvilinear 2-D scatterer. The training data are obtained using method of moments with higher order basis functions and Galerkin testing procedure. The effect of polynomial regression order to the accuracy of calcualted radar cross-section is explored.

查看译文

关键词

machine learning, scattering, method of moments

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要