Bayesian Estimation of Atmospherically Distorted Wavefronts Using Shack-Hartmann Sensors

We describe an optimal solution for the modal reconstruction of wavefronts distorted by Kolmogorov turbulence. The approach is Bayesian and calculates the maximum a posteriori (MAP) estimate for the Karhunen-Loeve expansion coefficients.