Radar signal Analysis of Ballistic Missile with Micro-motion Based on Time-Frequency Distribution

被引：0

作者：

Wang, Jianming ^{[1
]}

Liu, Lihua ^{[2
]}

Yu, Hua ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Sci & Engn, ATR Key Lab, Changsha, Hunan, Peoples R China

[2] Natl Univ Def Technol, Sci & Technol Informat Syst Engn Lab, Changsha, Hunan, Peoples R China

来源：

MIPPR 2015: AUTOMATIC TARGET RECOGNITION AND NAVIGATION | 2015年 / 9812卷

关键词：

ballistic missile; radar signal; micro-Doppler; texture spectrum analysis; time-frequency distribution image;

D O I：

10.1117/12.2205837

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The micro-motion of ballistic missile targets induces micro-Doppler modulation on the radar return signal, which is a unique feature for the warhead discrimination during flight. In order to extract the micro-Doppler feature of ballistic missile targets, time-frequency analysis is employed to process the micro-Doppler modulated time-varying radar signal. The images of time-frequency distribution (TFD) reveal the micro-Doppler modulation characteristic very well. However, there are many existing time-frequency analysis methods to generate the time-frequency distribution images, including the short-time Fourier transform (STFT), Wigner distribution (WD) and Cohen class distribution, etc. Under the background of ballistic missile defence, the paper aims at working out an effective time-frequency analysis method for ballistic missile warhead discrimination from the decoys.

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