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A free space optical communication propagation model with high-fidelity prediction accuracy (Conference Presentation)
Author(s): Lun Li; Yi Li; Sixiao Wei; Genshe Chen
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Paper Abstract

Due to the increasing demand on bandwidth, and the demonstrated success of wireless optical communications in providing broadband applications, interest has grown into further expanding the deployment of wireless optical transmission. Lasers used in free space optical communication (FSOC) operate in optical bands that are not regulated, which shows an enormous advantage in terms of bandwidth. However, laser signals fading tends to occur due to atmospheric turbulence and many other environmental factors. Current methods for representation of laser propagation mainly focus on straightforward statistical models, where their parametrization has to be carried out from experimental data. The existing empirical models are typically obtained by using data collected by laser sensors. These sensors detect photons of light, which are capable of recording intensities of the laser beam at a certain rate. However, simple, common distributions, in some instances, cannot fully describe the dynamic of the received optical signals, especially in the battlefield scenarios that involve various terrain and weather conditions. They lack the generality and rigor of a basic physical-level formulation, i.e., a model specific for one application or scenario cannot be applied to any other case. To overcome the shortcoming of the aforementioned statistical models, a physics-based FSOC propagation is proposed to simulate and represent multipath effects properly and efficiently. In this paper, we consider a large number of factors that may affect the actual FSOC measurement including absorption, scattering, impact of weather, geometric loss, and optical turbulence, etc. The simulation results demonstrate that our proposed FSOC propagation model achieves high-fidelity prediction accuracy.

Paper Details

Date Published: 14 May 2019
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Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 110170E (14 May 2019); doi: 10.1117/12.2526213
Show Author Affiliations
Lun Li, Intelligent Fusion Technology Inc (United States)
Yi Li, Intelligent Fusion Technology Inc (United States)
Sixiao Wei, Intelligent Fusion Technology Inc (United States)
Genshe Chen, Intelligent Fusion Technology Inc (United States)


Published in SPIE Proceedings Vol. 11017:
Sensors and Systems for Space Applications XII
Genshe Chen; Khanh D. Pham, Editor(s)

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