Applications of phase gradient autofocus to aperture synthesis imaging

Abstract

Summary form only given. A recently developed synthetic aperture radar (SAR) autofocus technique called the phase gradient autofocus (PGA) algorithm is considered. it has been developed to mitigate the problem of phase error compensation, which is common to all aperture synthesis imaging systems. The phase errors manifest themselves as redundant information in the reconstructed image. This invites the use of a data-driven algorithm to estimate the phase error function and perform the restorative deconvolution. The PGA algorithm exploits this redundancy to obtain a linear minimum variance estimator of the phase error. It has been demonstrated to be robust, computationally efficient, and easily implemented in standard digital signal processing hardware.<>