| Guest >> Sign In | ||||
 |
|
|||
UNCLASSIFIED, PUBLIC RELEASE
Data driven synthetic wavefront generation for boundary layer data
performance in imaging and laser propagation applications. Adaptive optics (AO) provide a method to mitigate
these effects by pre-compensating the wavefront before propagation. However, development and testing of AO
systems requires wavefront aberration data, which is difficult and expensive to obtain. Simulation methods
can be used to generate such data less expensively. For atmospheric turbulence, the Kolmogorov-Taylor model
provides a well-defined power spectrum that can be combined with the well-known angular spectrum method to
generate synthetic phase screens. However, as aero-optics cannot be similarly generalized, this process cannot be
applied to aero-optically relevant phenomena. In this paper, we introduce ReVAR (Re-Whitened Vector Auto-
Regression), a novel algorithm for data-driven aero-optic phase screen generation. ReVAR trains on an input
time-series of spatially and temporally correlated wavefront images from experiment and then generates synthetic
data that captures the statistics present in the experimental data. The first training step of ReVAR distills the
input images to a set of prediction weights and residuals. A further step we call re-whitening uses a spatial
principal component analysis (PCA) to whiten these residuals. ReVAR then uses a white noise generator and
inverts the previous transformation to construct synthetic time-series of data. This algorithm is computationally
efficient, able to generate arbitrarily long synthetic time-series, and produces high-quality results when tested
on turbulent boundary layer (TBL) data measured from a wind tunnel experiment. Using measured data for
training, the temporal power spectral density (TPSD) of data generated using ReVAR closely matches the TPSD
of the experimental data.
UNCLASSIFIED, PUBLIC RELEASE
| Copyright © 2026 Directed Energy Professional Society | DHTML/JavaScript Menus by OpenCube | |
| DEPS Policies and Terms of Use | ||