Radar object recognition by wavelet transform and neural network

被引：0

作者：

Tkác, J ^{[1
]}

Spirko, S ^{[1
]}

Boka, L ^{[1
]}

机构：

[1] Mil Acad, Dept Radiolocat, Liptovsky Mikulas 03101, Slovakia

来源：

MIKON-2000, VOLS 1 & 2, PROCEEDINGS | 2000年

关键词：

D O I：

暂无

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：

This paper presents method of radar object recognition by wavelet transform and neural network. Analysing range profiles by wavelet transform can show information about tracking object more clearly, It also gives a method of constructing feature vector for automatic recognition, which can make the dimension of feature vector be much smaller than dimension of primitive echo signal. A three-layer backpropagation neural network is used as recogniser. This problem is aimed to radar systems with the duration of transmitted pulses longer than size of object.

引用

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页码：239 / 243

页数：5

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