Abstract | ||
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Synthetic-aperture radar (SAR) can be used to remotely estimate ground target vibrations by exploiting the Doppler in the returned signals. Recent studies suggest that time-frequency signal-processing tools can retrieve the vibration signature from the returned SAR signals. A vibration estimation method based on the fractional Fourier transform (FRFT) was reported earlier and it was tested on simulated SAR data. In this paper, a first-time demonstration of the FRFT-based vibration estimation method is reported using real SAR data collected by the Lynx (Ku-band) SAR system. The vibrating target is an aluminum triangular trihedral with lateral length of 15 inches. The FRFT-based algorithm is shown to successfully retrieve a 3 mm peak-to-peak amplitude, 5 Hz vibration of the target from real SAR data. |
Year | DOI | Venue |
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2011 | 10.1109/IGARSS.2011.6050130 | IGARSS |
Keywords | Field | DocType |
fourier transforms,micro-doppler effect,synthetic aperture radar,size 15 inch,target vibration estimation,sar,vibration estimation,frft-based vibration estimation method,vibrations,doppler,radar signal processing,frequency 5 hz,time- frequency signal-processing tools,fractional fourier transform,synthetic aperture radar imagery,radar imaging,data collection,fourier transform,chirp,signal processing,time frequency analysis,doppler effect,acceleration | Radar,Radar imaging,Synthetic aperture radar,Computer science,Remote sensing,Time–frequency analysis,Chirp,Vibration,Doppler effect,Fractional Fourier transform | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4577-1003-2 | 5 |
PageRank | References | Authors |
0.66 | 4 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Qi Wang | 1 | 27 | 3.18 |
Matthew Pepin | 2 | 27 | 2.84 |
Ryan J. Beach | 3 | 18 | 1.55 |
Ralf Dunkel | 4 | 28 | 3.53 |
Tom Atwood | 5 | 27 | 3.18 |
Armin W. Doerry | 6 | 27 | 2.84 |
Balu Santhanam | 7 | 58 | 9.74 |
Walter Gerstle | 8 | 32 | 3.85 |
Majeed M. Hayat | 9 | 213 | 26.36 |