The phase-gradient algorithm represents a powerful new signal-processing technique with applications to aperture-synthesis imaging. These include, for example, synthetic-aperture-radar phase correction and stellar-image reconstruction. The algorithm combines redundant information present in the data to arrive at an estimate of the phase derivative. We show that the estimator is in fact a linear, minimum-variance estimator of the phase derivative.
© 1989 Optical Society of America
Original Manuscript: May 18, 1989
Manuscript Accepted: July 26, 1989
Published: October 15, 1989
P. H. Eichel and C. V. Jakowatz, "Phase-gradient algorithm as an optimal estimator of the phase derivative," Opt. Lett. 14, 1101-1103 (1989)