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