Electro-optics sensor with embedded edge AI-computing for atmospheric turbulence refractive index structure parameter (C_n^2) sensing at high temporal resolution

Don L. N. Hettiarachchi; Ernst Polnau; Mikhail A. Vorontsov

doi:10.1117/12.2618110

4 March 2022 Electro-optics sensor with embedded edge AI-computing for atmospheric turbulence refractive index structure parameter (C²_n) sensing at high temporal resolution

Don L. N. Hettiarachchi, Ernst Polnau, Mikhail A. Vorontsov

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Proceedings Volume 11993, Free-Space Laser Communications XXXIV; 119930X (2022) https://doi.org/10.1117/12.2618110
Event: SPIE LASE, 2022, San Francisco, California, United States

Abstract

An electro-optics system (TurbNet sensor) composed of a remotely located laser beacon, optical receiver telescope with a CCD camera capturing short-exposure intensity scintillation patterns, and deep neural network (DNN)-based processor implemented on Jetson Xavier Nx embedded AI-computing platform was developed and utilized for real-time sensing of the atmospheric turbulence refractive index structure parameter (2^C_n) over a 7 km propagation path at high temporal resolution.

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Citation Download Citation

Don L. N. Hettiarachchi, Ernst Polnau, and Mikhail A. Vorontsov "Electro-optics sensor with embedded edge AI-computing for atmospheric turbulence refractive index structure parameter (C²_n) sensing at high temporal resolution", Proc. SPIE 11993, Free-Space Laser Communications XXXIV, 119930X (4 March 2022); https://doi.org/10.1117/12.2618110

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