Paper Info
Title
Characteristic Study of Target Micro-motion Based on the Wavelet Analysis
Abstract
The model of micro-Doppler is established including the target's precession and tumbling, and the uniform theoretical formula of micro-Doppler is derived in this paper. Combined with the ballistic simulation, radar echo data of target operating in space ballistic midcourse is obtained. The variance and information entropy of wavelet is calculated by using continuous wavelet transform. The difference between the precession and tumbling on different scales is analyzed. The high frequency component is separated from the RCS (Radar Cross Section) data of the precession and tumbling targets through multi-scale analysis of wavelet transform. Quartile is used for identification of the precession and tumbling targets, which receives good effect, and this index is proved to have some noise-resistance capability.
Year
DOI
Venue
2013
10.1109/GreenCom-iThings-CPSCom.2013.281
GreenCom/iThings/CPScom
Keywords
Field
DocType
wavelet analysis,different scale,target micro-motion,ballistic simulation,precession target identification,target operating,multy-scale analysis,wavelet transforms,radar cross-sections,characteristic study,doppler radar,statistical distribution,target tracking,good effect,continuous wavelet,tumbling target identification,target micromotion,continuous wavelet transform,high frequency component,radar cross section,information entropy,micro-motion,microdoppler,wavelet transform,quartile,space ballistic midcourse,entropy,multiscale analysis,noise-resistance capability,radar echo data,radar tracking,rcs
Pulse-Doppler radar,Precession,Doppler radar,Computer vision,Mathematical analysis,Continuous wavelet transform,Discrete wavelet transform,Artificial intelligence,Cascade algorithm,Wavelet transform,Wavelet,Physics
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Yuguang Tian100.34
Chao Ning2263.63
Xiangyang Zhang301.35