Document Type
Article
Language
eng
Publication Date
6-2014
Publisher
Institute of Electrical and Electronic Engineers (IEEE)
Source Publication
IEEE Transactions on Geoscience and Remote Sensing
Source ISSN
0196-2892
Abstract
Target vibrations introduce nonstationary phase modulation, which is termed the micro-Doppler effect, into returned synthetic aperture radar (SAR) signals. This causes artifacts, or ghost targets, which appear near vibrating targets in reconstructed SAR images. Recently, a vibration estimation method based on the discrete fractional Fourier transform (DFrFT) has been developed. This method is capable of estimating the instantaneous vibration accelerations and vibration frequencies. In this paper, a deghosting method for vibrating targets in SAR images is proposed. For single-component vibrations, this method first exploits the estimation results provided by the DFrFT-based vibration estimation method to reconstruct the instantaneous vibration displacements. A reference signal, whose phase is modulated by the estimated vibration displacements, is then synthesized to compensate for the vibration-induced phase modulation in returned SAR signals before forming the SAR image. The performance of the proposed method with respect to the signal-to-noise and signalto-clutter ratios is analyzed using simulations. Experimental results using the Lynx SAR system show a substantial reduction in ghosting caused by a 1.5-cm 0.8-Hz target vibration in a true SAR image.
Recommended Citation
Wang, Qi; Pepin, Matthew; Wright, Aleck; Dunkel, Ralf; Atwood, Tom; Santhanam, Balu; Gerstle, Walter; Doerry, Armin W.; and Hayat, Majeed M., "Reduction of Vibration-Induced Artifacts in Synthetic Aperture Radar Imagery" (2014). Electrical and Computer Engineering Faculty Research and Publications. 564.
https://epublications.marquette.edu/electric_fac/564
ADA Accessible Version
Comments
Accepted version. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, No. 6 (June 2014): 3063-3073. DOI. © 2014 Institute of Electrical and Electronic Engineers (IEEE). Used with permission.
Majeed M. Hayat was affiliated with University of New Mexico, Albuquerque at the time of publication.