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Proceedings Paper

Radar signal analysis of ballistic missile with micro-motion based on time-frequency distribution
Author(s): Jianming Wang; Lihua Liu; Hua Yu
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Paper Abstract

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.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 981219 (14 December 2015); doi: 10.1117/12.2205837
Show Author Affiliations
Jianming Wang, National Univ. of Defense Technology (China)
Lihua Liu, National Univ. of Defense Technology (China)
Hua Yu, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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