Open AccessMicro‐Doppler feature extraction method for vibration targets based on the segmental intrinsic chirp component decomposition
Author(s) -
Wenwu Kang,
Yunhua Zhang,
Xiao Dong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0387
Subject(s) - chirp , doppler effect , interferometry , signal (programming language) , antenna (radio) , radar , vibration , computer science , acoustics , time–frequency analysis , fourier transform , trajectory , echo (communications protocol) , signal processing , optics , physics , telecommunications , laser , computer network , quantum mechanics , astronomy , programming language
Based on the three‐antenna interferometric radar system, a novel micro‐Doppler feature extraction method for vibration targets is proposed in this study. First, the theory of interferometric processing of echo signal for vibration targets is introduced and explained. Second, short‐time Fourier transform is conducted with the time–frequency diagram of echo signal obtained. Then, the signals received by three‐antenna model are decomposed based on the segmental intrinsic chirp component decomposition. Finally, the 2D trajectory of vibration target is reconstructed and its micro‐Doppler features are effectively extracted via the interferometric phase. Besides, the micro‐Doppler parameters can also be estimated with the method. Two simulation experiments are conducted to validate the proposed method.