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The Reliability Analysis of the Multi-dimensional Feature Parameters of Radar Signals

被引：0
|
作者：
Yu, Zhibin [1 ]
Sun, Yongkui [1 ]
Jin, Weidong [1 ]
机构：
[1] SW Jiaotong Univ, Sch Elect Engn, Chengdu 610031, Sichuan, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING (ICAISC 2012) | 2012年 / 12卷
关键词：
Radar signal; Feature parameters; Reliability;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is a very difficult and pressing issue to how to analyze the reliability of feature-parameters of complex radar emitter signals. In this paper, the ultimate state model of the signal feature-parameters is proposed based on the structure ultimate state of structure reliability theory, and the reliability models of signal feature-parameters are presented by point-estimate theory based on the structure reliability model. The reliability of the common feature-parameter PW and TOA are analyzed. The theoretical analysis and experimental results show that the reliability of feature parameters can be obtained by using the proposed approach when the variable distributions of the feature ultimate state function and bounds of features are known. Moreover, with the SNR and the bound of features increasing, the reliability of features are rising.
引用
收藏
页码：400 / 406
页数：7
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