A comparison of phase retrieval algorithms with a remote sensing scenario

Three iterative algorithms for phase retrieval from intensity data are compared. Computer simulation provides the basis for comparing each algorithm's performance for object recovery from noisy autocorrelations corrupted with exponential statistics. This paper justifies the use of exponential statistics with a simplified model of a remote sensing application.