SAR images reconstruction via phase retrieval

A new method to accurately reconstruct a Synthetic Aperture Radar complex image starting from phase errors affected raw received data is presented. It is based on a phase retrieval algorithm, and the unknown complex reflectivity is found by minimising a proper functional using die partial phase information carried out by the phase corrupted raw data as the initial guess of an iterative procedure. The method, which is capable of compensating for both 1-D and 2-D phase errors, has been validated on real <laia.