Abstract
Machine learning methods improve performance of a novel atmospheric parameter estimation algorithm for characterizing local atmospheric propagation channel optical turbulence, extinction, and scattering. Results of lab experiment, field test, and wave-optics propagation simulations are presented.
© 2014 Optical Society of America
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