Sparse prediction of turbulence in time and space
conference paper
Using a matching pursuit (MP) approach to solve least squares problems with a sparsity constraint sparse controllers are computed to compensate for atmospheric turbulence. The method has been validated by simulation of von Kármán turbulence with frozen flow for the case of prediction, reconstruction and control.
Topics
TNO Identifier
955368
ISBN
9782759804962
Publisher
EDP Sciences
Article nr.
07004
Source title
1st International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2009, 22-26 June 2009, Paris, France
Collation
6 p.