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Dynamic mode decomposition for aero-optic wavefront characterization.
- Source :
-
Optical Engineering . Jan2022, Vol. 61 Issue 1, p13105-13105. 1p. - Publication Year :
- 2022
-
Abstract
- Aero-optical beam control relies on the development of low-latency forecasting techniques to quickly predict wavefronts aberrated by the turbulent boundary layer around an airborne optical system, and its study applies to a multidomain need from astronomy to microscopy for high-fidelity laser propagation. We leverage the forecasting capabilities of the dynamic mode decomposition (DMD) — an equation-free, data-driven method for identifying coherent flow structures and their associated spatiotemporal dynamics — to estimate future state wavefront phase aberrations to feed into an adaptive optic control loop. We specifically leverage the optimized DMD (opt-DMD) algorithm on a subset of the Airborne Aero-Optics Laboratory-Transonic experimental dataset, characterizing aberrated wavefront dynamics for 23 beam propagation directions via the spatiotemporal decomposition underlying DMD. Critically, we show that opt-DMD produces an optimally debiased eigenvalue spectrum with imaginary eigenvalues, allowing for arbitrarily long forecasting to produce a robust future state prediction, while exact DMD loses structural information due to modal decay rates. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00913286
- Volume :
- 61
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Optical Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 155001031
- Full Text :
- https://doi.org/10.1117/1.OE.61.1.013105