Pulse-to-pulse periodic signal sorting features and feature extraction in radar emitter pulse sequences

作     者：Qiang Guo Zhenshen Qu Changhong Wang 

作者机构：College of Information and Communication Engineering Harbin Engineering University Harbin 150001 R R. China Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 R R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2010年第21卷第3期

页      面：382-389页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China (60872108) the Postdoctoral Science Foundation of China(200902411 20080430903) Heilongjiang Postdoctoral Financial Assistance (LBH-Z08129) the Scientific and Technological Creative Talents Special Research Foundation of Harbin Municipality (2008RFQXG030) Central University Basic Research Professional Expenses Special Fund Project 

主　　题：signal sorting fractal geometry Hilbert-Huang transform(HHT) G feature extraction. 

摘      要：A novel class of periodically changing features hidden in radar pulse sequence environment,named G features,is *** fractal theory and Hilbert-Huang transform,the features are extracted using changing characteristics of pulse parameters in radar emitter *** features can be applied in modern complex electronic warfare environment to address the issue of signal sorting when radar emitter pulse signal parameters severely or even completely *** results show that the proposed feature class and feature extraction method can discriminate periodically changing pulse sequence signal sorting features from radar pulse signal flow with complex variant features,therefore provide a new methodology for signal sorting.