Optimal, blind-search modal wavefront correction in atmospheric turbulence. Part I: simulations

Abstract

Modal control is an established tool in adaptive optics. It allows not only for the reduction in the controllable degrees of freedom, but also for filtering out unseen modes and optimizing gain on a mode-by-mode basis. When Zernike polynomials are employed as the modal basis for correcting atmospheric turbulence, their cross-correlations translate to correction errors. We propose optimal modal decomposition for gradient-descent-based wavefront sensorless adaptive optics, which is free of this problem. We adopt statistically independent Karhunen-Loève functions for iterative blind correction and analyze performance of the algorithm in static as well as in dynamic simulated turbulence conditions.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 05, 2021
Source ID
10.1364/oe.408682

Entities

People

  • Max Segel
  • Szymon Gladysz

Organizations

  • Office of Naval Research Global

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Computational Modeling and Simulation