Self-tuning Kalman filter estimation of atmospheric warp
Murat Tahtalı, Andrew J. Lambert, Donald J. Fraser · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
In our previous work we have demonstrated that the perceived wander of image intensities as seen through the "windows" of each pixel due to atmospheric turbulence can be modelled as a simple oscillator pixel-by-pixel and a linear Kalman filter (KF) can be finetuned to predict to a certain extent short term future deformations. In this paper, we are expanding the Kalman filter into a Hybrid Extended Kalman filter (HEKF) to fine tune itself by relaxing the oscillator parameters at each individual pixel. Results show that HEKF performs significantly better than linear KF.