DocumentCode :
3088097
Title :
Monte Carlo Simulation of Light Propagation Through the Troposphere for Free Space Optical Communication
Author :
Elkamchouchi, Hassan M. ; El-Shimy, Mohamed A.
Author_Institution :
Fac. of Eng., Alexandria Univ.
Volume :
0
fYear :
2006
fDate :
14-16 March 2006
Firstpage :
1
Lastpage :
8
Abstract :
Monte Carlo simulation is a stochastic technique used to solve a variety of physical problems. In all applications of the Monte Carlo method, a stochastic model is constructed in which the expected value of a certain random variable is equivalent to the value of a physical quantity to be determined. In this paper Monte Carlo simulations were carried out for light propagation through the atmosphere at wavelength 0.785 mum which is chosen to fall inside transmission windows within the atmospheric absorption spectra. The simulation is based on the random walks that photons make as they travel through the atmosphere, which are chosen by statistically sampling the probability distributions for step size and angular deflection per scattering event. After propagating many photons, the net distribution of all the photon paths yields an accurate approximation to reality. There are some types of weather of the atmosphere that are chosen at which the simulation is held to determine the effect on the propagation of light. Several optical thicknesses were examined between 0.1 and 5, relevant to real atmospheric conditions. Results indicate that the heavy rain or a dense fog will completely stop the passage of optical-frequency radio waves through the troposphere. Therefore optical frequency radio waves will be used only in localities where the atmospheric precipitations are a rare occurrence
Keywords :
Monte Carlo methods; atmospheric light propagation; optical communication; probability; radiowave propagation; sampling methods; stochastic processes; 0.785 micron; Monte Carlo simulation; free-space optical communication; light propagation; optical-frequency radio wave; probability distribution; random variable; statistical sampling; stochastic technique; troposphere; Absorption; Atmospheric modeling; Atmospheric waves; Discrete event simulation; Optical fiber communication; Optical propagation; Optical scattering; Random variables; Stochastic processes; Terrestrial atmosphere;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Conference, 2006. NRSC 2006. Proceedings of the Twenty Third National
Conference_Location :
Menoufiya
Print_ISBN :
977-5031-84-2
Electronic_ISBN :
977-5031-84-2
Type :
conf
DOI :
10.1109/NRSC.2006.386330
Filename :
4275127
Link To Document :
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