Institute of Electrical and Electronic Engineers (IEEE)
IEEE Transactions on Geoscience and Remote Sensing
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.
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.
ADA Accessible Version
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.