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Title: The phase gradient autofocus algorithm: An optimal estimator of the phase derivative

Technical Report ·
DOI:https://doi.org/10.2172/5609345· OSTI ID:5609345

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. In this report, we show that the estimator is in fact a linear, minimum variance estimator of the phase derivative. 7 refs.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
DOE/DP
DOE Contract Number:
AC04-76DP00789
OSTI ID:
5609345
Report Number(s):
SAND-89-0761; ON: DE90000895
Country of Publication:
United States
Language:
English