Poster + Paper
15 March 2023 Statistical analysis of fading power vectors for real-time atmospheric channel emulation
Yousef K. Chahine, Evan J. Katz, Brian E. Vyhnalek, Sarah A. Tedder
Author Affiliations +
Proceedings Volume 12413, Free-Space Laser Communications XXXV; 124131L (2023) https://doi.org/10.1117/12.2648447
Event: SPIE LASE, 2023, San Francisco, California, United States
Conference Poster
Abstract
The design and testing of a free-space optical communication system requires assessment of the impact of random fluctuations in received power from a laser beam transmitted over an atmospheric channel. A number of methods for generating fading power vectors for in-lab emulation of an atmospheric channel have previously been reported. These techniques include spectral shaping and filtering of a signal from a normally distributed pseudo-random number generator, full wave optics simulations with random phase screens, and pre-recorded measurements from experimental free-space links. In this work, a statistical analysis of atmospheric fading is presented with the goal of producing a practical engineering model suitable for generating synthetic fade vectors in real-time for long-duration receiver testing with channel interleaving. Specifically, a parametric model is developed for turbulence-induced fade on space-to-ground links with large-aperture receivers, including aperture-averaging and the effects of aperture size on the instantaneous coupling efficiency for mode-limited receivers. In particular, we analyze the probability density function and temporal power spectrum for fluctuations of the coupling efficiency for few-mode fibers in a range of turbulence conditions.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yousef K. Chahine, Evan J. Katz, Brian E. Vyhnalek, and Sarah A. Tedder "Statistical analysis of fading power vectors for real-time atmospheric channel emulation", Proc. SPIE 12413, Free-Space Laser Communications XXXV, 124131L (15 March 2023); https://doi.org/10.1117/12.2648447
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KEYWORDS
Receivers

Analytic models

Turbulence

Monte Carlo methods

Statistical modeling

Single mode fibers

Linear filtering

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