Statistical comparison of probability models of intensity fluctuation

Melissa Beason; Larry Andrews; Szymon Gladysz

doi:10.1117/12.2535752

9 October 2019 Statistical comparison of probability models of intensity fluctuation

Melissa Beason, Larry Andrews, Szymon Gladysz

Proceedings Volume 11153, Environmental Effects on Light Propagation and Adaptive Systems II; 111530D (2019) https://doi.org/10.1117/12.2535752
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

Probability Density Functions (PDFs) describing intensity fluctuations of a propagated beam are necessary to reliably predict operation of Free-Space-Optical (FSO) systems. This becomes especially important when considering the tails of the distribution. For example, accuracy in the low-intensity tail is necessary in the design of FSO communication systems as it determines the probability of fade. Accuracy in the high-intensity portion of the tail is necessary for eye safety calculations and to prevent equipment damage. In this work, we evaluate PDF models considering the statistics of the fit to empirical data for point and distributed apertures for several values of Rytov variance. Based on p-values and level of significance, we compare the quality of the fit of common PDF models to empirical data. As part of this, we evaluate the transition of the best fit PDF as the aperture area is increased. Both simulated and measured data will be included in this analysis.

Conference Presentation

Citation Download Citation

Melissa Beason, Larry Andrews, and Szymon Gladysz "Statistical comparison of probability models of intensity fluctuation", Proc. SPIE 11153, Environmental Effects on Light Propagation and Adaptive Systems II, 111530D (9 October 2019); https://doi.org/10.1117/12.2535752

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