DocumentCode :
3432697
Title :
Sinusoidal frequency modulation fourier transform and micro-Doppler spectrum estimation of vibrating vehicles
Author :
Bo Peng ; Xizhang Wei ; Bin Deng ; Kangle Li ; Haowen Chen ; Xiang Li
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
626
Lastpage :
630
Abstract :
Vibration signature extraction and vehicle type identification are traditional aspirations in micro-Doppler domain. Radar echoes from vibrating targets can be modeled as frequency-modulated signals, with micro stochastic Doppler components in phase item. In this work, the sinusoidal frequency modulation Fourier transform (SFMFT) in sinusoidal frequency modulated signal space is proposed, which owns significant advantages in analyzing faint and complicate phase modulation signals. SFMFT provides a straightforward and effective approach to analyze the arbitrary frequency modulation signals. This method improves the estimate precision and reduces the requirement of radar working frequency band. Simulations of vibration spectrum extraction indicate the effectiveness of the model and method proposed in this work.
Keywords :
Fourier transforms; feature extraction; frequency modulation; phase modulation; road vehicle radar; vibrations; SFMFT; complicate phase modulation signal analysis; faint signal analysis; microDoppler spectrum estimation; microstochastic Doppler components; radar echoes; radar working frequency band; sinusoidal frequency modulated signal space; sinusoidal frequency modulation Fourier transform; vehicle type identification; vibrating vehicles; vibration signature extraction; vibration spectrum extraction; Doppler radar; Frequency modulation; Scattering; Spectral analysis; Vehicles; Vibrations; Sinusoidal Frequency Modulation Fourier Transform; micro-Doppler; sinusoidal frequency modulated signal space; time-frequency analysis; vibration spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625417
Filename :
6625417
Link To Document :
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