On the Convergence of the Phase Gradient Autofocus Algorithm for Synthetic Aperture Radar Imaging

摘要

Synthetic Aperture Rador (SAR) imaging is a class of coherent range and Doppier signal processing techniques applied to remote sensing. The aperture is synthesized by recording and processing coherent signals at known positions along the flight path. Demands for greater image resolution put an extreme burden on requirements for inertial measurement units that are used to maintain accurate pulse-to-pulse position information. The recently developed Phase Gradient Autofocus algorithm relieves this burden by taking a data-driven digital signal processing approach to estimating the range-invariant phase aberrations due to either uncompensated motions of the SAR platform or to atmospheric turbulence.