Self-phasing optical heterodyne arrays using the weighted least squares spatial correlation algorithm

E. Hesham Attia

doi:10.1117/12.177687

8 June 1994 Self-phasing optical heterodyne arrays using the weighted least squares spatial correlation algorithm

E. Hesham Attia

Proceedings Volume 2120, Laser Beam Propagation and Control; (1994) https://doi.org/10.1117/12.177687
Event: OE/LASE '94, 1994, Los Angeles, CA, United States

Abstract

The spatial correlation algorithm (SCA) corrects for severe array phase distortion without requiring finding a source of opportunity within the target area for possible phase conjugation. The algorithm predicts and corrects aperture distortion using the spatial correlation properties of range-resolved target or backscatter returns.Also, target rotation may be exploited. The SCA is capable of correcting arbitrarily large phase errors that can be totally independent from one array element to another. We extended the algorithm to 2D optical array geometries. The resulting weighted lease squares 2D SCA is optimal. Combined with a new phase-unwrapping technique, the solution is direct, in the sense that it works all differential phase measurements simultaneously. Results of an extensive statistical analysis characterizing the gain of the mainlobe of the resulting point spread function are also presented.

Citation Download Citation

E. Hesham Attia "Self-phasing optical heterodyne arrays using the weighted least squares spatial correlation algorithm", Proc. SPIE 2120, Laser Beam Propagation and Control, (8 June 1994); https://doi.org/10.1117/12.177687

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