DocumentCode
1853957
Title
Wideband echo simulation and velocity compensation of midcourse ballistic target
Author
Sun Yongjian ; Fu Ying ; Cheng Zhen ; Heqiang Mu ; Wang Guiling
Author_Institution
CASIC, Beijing Inst. of Radio Meas., Beijing, China
Volume
3
fYear
2012
fDate
21-25 Oct. 2012
Firstpage
1944
Lastpage
1948
Abstract
Ballistic missile target (BMT) in midcourse possesses two motion features of high velocity and micro-motion. The measured Doppler shift is ambiguous and modulated by the micro-Doppler components. It is difficult to estimate the micro-Doppler bandwidth of BMT and extract its micro-motion parameters. Under the condition of taking account the motion features of BMT, its wideband echo mathematical model is established and investigated at first. Then, the velocity compensation technique is put forward which is based on simplified fractional Fourier transform (SFRFT), Particles Swarm Optimization (PSO) and minimum entropy theories. Simulation results show that the advanced method can present accurate parameter estimation and perform effective compensation for translation Doppler shift. Even in low signal to noise ratio (SNR) case, the simulated outcomes prove it still work well. This technique provides the precondition for micro-Doppler feature extraction.
Keywords
Doppler shift; Fourier transforms; ballistics; echo; entropy; feature extraction; mathematical analysis; parameter estimation; particle swarm optimisation; BMT; Doppler shift; SFRFT; SNR; ballistic missile target; microDoppler bandwidth; microDoppler components; microDoppler feature extraction; micromotion; micromotion parameters; midcourse ballistic target; minimum entropy theories; parameter estimation; particles swarm optimization; signal to noise ratio; simplified fractional Fourier transform; translation Doppler shift; velocity compensation; wideband echo mathematical model; wideband echo simulation; ballistic missile; feature extraction; micro-Doppler; velocity compensation; wideband echo;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location
Beijing
ISSN
2164-5221
Print_ISBN
978-1-4673-2196-9
Type
conf
DOI
10.1109/ICoSP.2012.6491960
Filename
6491960
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