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Proceedings Paper

Simulation of stochastic signals for FSO communication systems through spectral representation
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Paper Abstract

Recent studies have been carried out, in which the statistical properties of the received signal of free space communication systems are assessed by means of simulations. The obtained results, however, have not brought information about the temporal behavior of the generated photocurrent. This work describes how this can be accomplished through stochastic processes simulations. Although most of the theory on stochastic field simulation has been developed for application in mechanics and fluids engineering, it is well suited for signal analysis in wireless optical systems. Basically, if it is possible to artificially create a signal with realistic properties that is transmitted over the atmospheric channel, it can be used for system analysis and design without the need of mounting a real transceiver. This dramatically reduces development costs and time. A technique that has been widely applied in engineering is the spectral representation method. The concept of spectral representation of Gaussian random processes was introduced in 1944. Its use, however, in generating simulations of random processes was only proposed in 1972. This method deals with the summation of a large number of weighted trigonometric functions. This work shows how to apply this technique in order to assess the generation of turbulence-corrupted signals using the above mentioned method and its application in simulating data transmission over the atmospheric channel. As figure of merit, system Bit Error Rate and the eye-figure of the received signal are obtained.

Paper Details

Date Published: 17 May 2013
PDF: 15 pages
Proc. SPIE 8732, Atmospheric Propagation X, 873206 (17 May 2013); doi: 10.1117/12.2016065
Show Author Affiliations
Jose Paulo G. de Oliveira, Univ. of Pernambuco (Brazil)
FITec - Fundacao para Inovacoes Tecnologicas (Brazil)


Published in SPIE Proceedings Vol. 8732:
Atmospheric Propagation X
Linda M. Wasiczko Thomas; Earl J. Spillar, Editor(s)

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