Phase-gradient algorithm as an optimal estimator of the phase derivative

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...

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Bibliographic Details
Published in:Optics letters 1989-10, Vol.14 (20), p.1101-1103
Main Authors: EICHEL, P. H, JAKOWATZ, C. V. JR
Format: Article
Language:English
Subjects:
440800 - Miscellaneous Instrumentation- (1990-)
ALGORITHMS
ASTRONOMY
CORRECTIONS
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
IMAGE PROCESSING
Imaging and optical processing
MATHEMATICAL LOGIC
MEASURING INSTRUMENTS
Optics
OTHER INSTRUMENTATION
Physics
PROCESSING
RADAR
RANGE FINDERS
SYNTHETIC-APERTURE RADAR
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Summary: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.
ISSN:0146-9592
1539-4794
DOI:10.1364/OL.14.001101