DocumentCode :
1498041
Title :
SAR-Based Vibration Estimation Using the Discrete Fractional Fourier Transform
Author :
Wang, Qi ; Pepin, Matthew ; Beach, Ryan J. ; Dunkel, Ralf ; Atwood, Tom ; Santhanam, Balu ; Gerstle, Walter ; Doerry, Armin W. ; Hayat, Majeed M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA
Volume :
50
Issue :
10
fYear :
2012
Firstpage :
4145
Lastpage :
4156
Abstract :
A vibration estimation method for synthetic aperture radar (SAR) is presented based on a novel application of the discrete fractional Fourier transform (DFRFT). Small vibrations of ground targets introduce phase modulation in the SAR returned signals. With standard preprocessing of the returned signals, followed by the application of the DFRFT, the time-varying accelerations, frequencies, and displacements associated with vibrating objects can be extracted by successively estimating the quasi-instantaneous chirp rate in the phase-modulated signal in each subaperture. The performance of the proposed method is investigated quantitatively, and the measurable vibration frequencies and displacements are determined. Simulation results show that the proposed method can successfully estimate a two-component vibration at practical signal-to-noise levels. Two airborne experiments were also conducted using the Lynx SAR system in conjunction with vibrating ground test targets. The experiments demonstrated the correct estimation of a 1-Hz vibration with an amplitude of 1.5 cm and a 5-Hz vibration with an amplitude of 1.5 mm.
Keywords :
discrete Fourier transforms; radar signal processing; synthetic aperture radar; vibrations; DFRFT; SAR; discrete fractional Fourier transform; frequency 1 Hz; frequency 5 Hz; phase modulation; quasiinstantaneous chirp rate; signal-to-noise level; synthetic aperture radar; time-varying acceleration; two-component vibration; vibration estimation; vibration frequency; Acceleration; Chirp; Discrete Fourier transforms; Estimation; History; Signal to noise ratio; Vibrations; Fractional Fourier transform; joint time–frequency analysis (JTFA); micro-Doppler effect; subaperture; synthetic aperture radar (SAR); vibration;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2012.2187665
Filename :
6185663
Link To Document :
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