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Integer ambiguity resolution in phase closure imaging.

¹Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, France. lannes@cerfacs.fr

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|May 5, 2001

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Phase calibration in interferometric imaging is efficiently solved by addressing integer ambiguity. This method enhances phase closure imaging and has applications in global positioning systems.

Area of Science:

Astronomy
Signal Processing
Geodesy

Background:

Phase calibration is crucial for phase closure imaging.
Nonredundant arrays present an integer ambiguity problem in phase calibration.
Existing methods require efficient solutions for this ambiguity.

Purpose of the Study:

To present an efficient method for solving the integer ambiguity problem in phase calibration.
To identify potential instabilities in the phase calibration process.
To extend the phase calibration approach to redundant arrays.

Main Methods:

Solving the closest vector problem on a Z lattice for phase calibration.
Analyzing differences between data and model closure phases.
Modifying self-calibration procedures for interferometric graphs.

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Main Results:

An efficient algorithm for resolving integer ambiguity in phase calibration.
Identification and understanding of potential instabilities.
The method is extendable to redundant arrays.

Conclusions:

The proposed method offers an efficient solution to phase calibration's integer ambiguity.
This approach refines phase closure imaging techniques.
Applications extend to global positioning system (GPS) integer ambiguity problems.