High Resolution Radar Detection Based on Neutral Network

被引：0

作者：

Pang, N. ^{[1
]}

Xu, P. J. ^{[2
]}

机构：

[1] Beijing Inst Technol, Beijing Inst Radio Measurement, Beijing 100081, Peoples R China

[2] Beijing Inst Power Design, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY AND MANAGEMENT SCIENCE (ITMS 2015) | 2015年 / 34卷

关键词：

High Resolution Radar; Neural Network; Adaptive BP method;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Neural Network has been broadly applied in the area of modern information technique including radar area. Traditional detection techniques can not detect objects accurately in High Resolution Radar system. Neural Network method can apperceive the tiny diversification of the object because of its flexible parallel processing structure and better mistake toleration. Back-Propagation method solved the problem of multiple network training. But this method is easy to shake and the convergence speed is slow. The Weight adjustment arithmetic based on momentum method can improve in the two aspects. The test shows the efficiency of this kind of adaptive BP method.

引用

页码：412 / 415

页数：4