Paper
19 November 2015 Atmospheric channel for bistatic optical communication: simulation algorithms
V. V. Belov, M. V. Tarasenkov
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Proceedings Volume 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics; 968028 (2015) https://doi.org/10.1117/12.2205956
Event: XXI International Symposium Atmospheric and Ocean Optics. Atmospheric Physics, 2015, Tomsk, Russian Federation
Abstract
Three algorithms of statistical simulation of the impulse response (IR) for the atmospheric optical communication channel are considered, including algorithms of local estimate and double local estimate and the algorithm suggested by us. On the example of a homogeneous molecular atmosphere it is demonstrated that algorithms of double local estimate and the suggested algorithm are more efficient than the algorithm of local estimate. For small optical path length, the proposed algorithm is more efficient, and for large optical path length, the algorithm of double local estimate is more efficient. Using the proposed algorithm, the communication quality is estimated for a particular case of the atmospheric channel under conditions of intermediate turbidity. The communication quality is characterized by the maximum IR, time of maximum IR, integral IR, and bandwidth of the communication channel. Calculations of these criteria demonstrated that communication is most efficient when the point of intersection of the directions toward the source and the receiver is most close to the source point.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. V. Belov and M. V. Tarasenkov "Atmospheric channel for bistatic optical communication: simulation algorithms", Proc. SPIE 9680, 21st International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 968028 (19 November 2015); https://doi.org/10.1117/12.2205956
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Cited by 2 scholarly publications.
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KEYWORDS
Atmospheric optics

Optical communications

Computer simulations

Telecommunications

Statistical analysis

Monte Carlo methods

Algorithm development

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