Analysis of weak echo signal based on RBF neural network in non-cooperative passive detection

被引：0
|
作者：
Zhao Danfeng [1 ]
Xu Cong [1 ]
Zhang Yang [2 ]
机构：
[1] Harbin Engn Univ, Informat & Commun Sch, Harbin, Peoples R China
[2] Nevel Equipment Inst, Beijing, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
non-cooperative passive detection; chaos; RBF neural network;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Because of some advantages obtained from noncooperative passive detection system, such as anti-surveillance, anti-interference, anti-stealth, anti-radiation missile and so on, it will become a crucial trend of radar systems in the future. The key problem in this system is the detection of weak echo signal, which is submerged in interference and noise. In this paper, the echo signal in non-cooperative passive detection exploiting FM radio signal as illuminator is proved to be chaotic. The RBF neural network is adopted to predict the chaotic time series. A new conception is proposed to detect weak signal.
引用
收藏
页码：2058 / +
页数：2
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