Paper
21 July 2014 Fast iterative optimal estimation of turbulence wavefronts with recursive block Toeplitz covariance matrix
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Abstract
The estimation of a corrugated wavefront after propagation through the atmosphere is usually solved optimally with a Minimum-Mean-Square-Error algorithm. The derivation of the optimal wavefront can be a very computing intensive task especially for large Adaptive Optics (AO) systems that operates in real-time. For the largest AO systems, efficient optimal wavefront reconstructor have been proposed either using sparse matrix techniques or relying on the fractal properties of the atmospheric wavefront. We propose a new method that exploits the Toeplitz structure in the covariance matrix of the wavefront gradient. The algorithm is particularly well-suited to Shack-Hartmann wavefront sensor based AO systems. Thanks to the Toeplitz structure of the covariance, the matrices are compressed up to a thousand-fold and the matrix-to-vector product is reduced to a simple one-dimension convolution product. The optimal wavefront is estimated iteratively with the MINRES algorithm which exhibits better convergence properties for ill-conditioned matrices than the commonly used Conjugate Gradient algorithm. The paper describes, in a first part, the Toeplitz structure of the covariance matrices and shows how to compute the matrix-to-vector product using only the compressed version of the matrices. In a second part, we introduced the MINRES iterative solver and shows how it performs compared to the Conjugate Gradient algorithm for different AO systems.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rodolphe Conan "Fast iterative optimal estimation of turbulence wavefronts with recursive block Toeplitz covariance matrix", Proc. SPIE 9148, Adaptive Optics Systems IV, 91480R (21 July 2014); https://doi.org/10.1117/12.2054472
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Cited by 3 scholarly publications.
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KEYWORDS
Wavefronts

Matrices

Adaptive optics

Wavefront sensors

Fourier transforms

Error analysis

Atmospheric optics

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