Wavefront sensor fusion via shallow decoder neural networks for aero-optical predictive control

Shervin Sahba; Christopher C. Wilcox; Austin McDaniel; Benjamin D. Shaffer; Steven L. Brunton; J. Nathan Kutz

doi:10.1117/12.2631951

3 October 2022 Wavefront sensor fusion via shallow decoder neural networks for aero-optical predictive control

Shervin Sahba, Christopher C. Wilcox, Austin McDaniel, Benjamin D. Shaffer, Steven L. Brunton, J. Nathan Kutz

Proceedings Volume 12223, Interferometry XXI; 1222303 (2022) https://doi.org/10.1117/12.2631951
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Sensor limitations often result in devices with particularly high spatial-imaging resolution or high sampling rates but not both concurrently. Adaptive optics control mechanisms, for example, rely on high-fidelity sensing technology to predictively correct wavefront phase aberrations. We propose fusing these two categories of sensors: those with high spatial resolution and those with high temporal resolution. As a prototype, we first sub-sample simulations of the Kuramoto-Sivashinsky equation, known for its chaotic flow from diffusive instability, and build a map between such simulated sensors using a Shallow Decoder Neural Network. We then examine how to fuse the merits of a common sensor in aero-optical sensing, the Shack-Hartmann wavefront sensor, with the increased spatial information of a Digital Holography wavefront sensor, training on supersonic wind-tunnel wavefront data provided by the Aero-Effects Laboratory at the Air Force Research Laboratory Directed Energy Directorate. These maps merge the high-temporal and high-spatial resolutions from each respective sensor, demonstrating a proof-of-concept for wavefront sensor fusion for adaptive optical applications.

Citation Download Citation

Shervin Sahba, Christopher C. Wilcox, Austin McDaniel, Benjamin D. Shaffer, Steven L. Brunton, and J. Nathan Kutz "Wavefront sensor fusion via shallow decoder neural networks for aero-optical predictive control", Proc. SPIE 12223, Interferometry XXI, 1222303 (3 October 2022); https://doi.org/10.1117/12.2631951

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