Predicting the radar cross section based on a support vector regression model

被引：1

作者：

Wang, Gu ^{[1
]}

Chen, Wei-shi ^{[1
]}

Wang, Bao-fa ^{[1
]}

Liu, Tie-jun ^{[1
]}

机构：

[1] Beihang Univ, Beijing 100083, Peoples R China

来源：

2006 7TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND EM THEORY, VOLS 1 AND 2, PROCEEDINGS | 2006年

关键词：

radar cross section; support vector regression;

D O I：

10.1109/ICWS.2006.31

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In spite of many years' development in the electromagnetic scattering computation, some computing problems for complex targets can not be solved, by using the existing theory and computing models. A computing model based on data is established for making up for the insufficiency of theoretic models in this paper. Based on the "support vector regression method", which is formulated on the principle of minimizing a structural risk, a. data model to predicate the unknown RCS of some appointed target is given. With a comparison between the actual data and the results of this predicting model based on SVR. it is proved that the SVR method is workable and with a. comparative precision.

引用

页码：681 / 684

页数：4

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