New method for sorting radar emitter signal

被引：0
|
作者：
He, Minghao
Zhu, Yuanqing
Mao, Yan
Han, Jun
机构：
[1] Division of Training, AFAR, Wuhan 430019, China
[2] Department of Electronic Countermeasures, AFAR, Wuhan 430019, China
来源：
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) | 2007年 / 31卷 / 03期
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学科分类号：
摘要：
A new method for sorting radar emitter signals is proposed in this paper. In order to improve Signal noise ratio (SNR), Wavelet Denoising is used, and the radar in-pulse characteristics is extracted by Wavelet-ridge, radar emitter signal sorting is realized by neural networks. By simulation, it shows that this method can realize precise sorting under low SNR, and it is better than other methods.
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页码：430 / 433
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