Efficient Modeling of Missile RCS Magnitude Responses by Gaussian Processes

被引：24

作者：

Jacobs, Jan Pieter ^{[1
]}

du Plessis, Warren Paul ^{[1
]}

机构：

[1] Univ Pretoria, ZA-0002 Pretoria, South Africa

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2017年 / 16卷

基金：

新加坡国家研究基金会;

关键词：

Gaussian processes (GP); modeling; radar cross section (RCS);

D O I：

10.1109/LAWP.2017.2771236

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

An efficient technique for modeling radar cross section magnitude responses versus frequency is presented. The technique is based on Gaussian process regression andmakes it possible to significantly reduce the number of expensive computer simulations required to accurately resolve these responses. Examples of two missiles are used to evaluate the proposed technique. Average predictive normalized root-mean-square errors (RMSEs) of 1.24% and 1.63% were obtained, with the worst RMSE being less than 2.2%. These results were significantly better than results obtained with alternative techniques, including geometric theory of diffraction-based modeling and support vector regression.

引用

页码：3228 / 3231

页数：4

共 10 条

[1]

Microwave devices and antennas modelling by support vector regression machines [J].