Radar Small Target Detection Based on Singular Value Decomposition Method

被引：0
|
作者：
Wu L.-Y. [1 ,2 ]
Mao J. [1 ]
Bai W.-X. [2 ]
机构：
[1] Sichuan Jiuzhou Falcon Technologies Co., Ltd, Mianyang, 621000, Sichuan
[2] Air and Missile Defense College, Air Force Engineering University, Xi'an
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2019年 / 48卷 / 03期
关键词：
Difference spectrum of singular value; Signal to noise ratio; Small target detection; Strong clutter environment;
D O I：
10.3969/j.issn.1001-0548.2019.03.002
中图分类号：
学科分类号：
摘要：
A detection method of radar small target in a strong clutter environment is proposed. On the basis of singular value decomposition theory, the first order and second order difference spectrum of singular values is used to select the singular values in various combination. Radar echo signal is decomposed into different compositions by inverse singular value transformation, thus realizing the clutter suppression and small target highlights. The experiment shows that the method can effectively suppress the strong clutter and improve the signal to noise ratio 7dB of small targets. © 2019, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.
引用
收藏
页码：326 / 330
页数：4
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