Equalization and Markov chains in cloud channel

Mohsen Kavehrad

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations


Free-space optical (FSO) communications is a practical solution for creating at three-dimensional global broadband communications grid, offering bandwidths far beyond those possible in Radio Frequency (RF) range. However, attributes of atmospheric turbulence and obscurants such as clouds impose perennial limitations on availability and reliability of optical links. To design and evaluate optimum transmission techniques that operate under realistic atmospheric conditions, a good understanding of the channel behavior is necessary.

In some prior works, the Monte Carlo ray tracing (MCRT) algorithm has been used to analyze the channel behavior. This task is quite numerically intensive. The focus of this chapter is on investigating the possibility of simplifying this task by a direct extraction of state transition matrices associated with standard Markov modeling from the MCRT computer simulations programs. We show that by tracing a photon's trajectory in space via a Markov chain model, the angular distribution can be calculated by simple matrix multiplications. We also demonstrate that the new approach produces results that are close to those obtained by MCRT and other known methods. Furthermore, considering the fact that angular, spatial, and temporal distributions of energy are interrelated, mixing time of Monte Carlo Markov chain (MCMC) for different types of aerosols is calculated based on eigen-analysis of the state transition matrix and possibility of communications in scattering media is investigated. We also consider in this chapter signal processing techniques for airborne FSO wireless communications through clouds. The FSO channel is known to be accompanied by multi-scattering, which causes severe inter-symbol interference in digital transmissions at high data rates.

Original languageEnglish (US)
Title of host publicationAdvanced Optical Wireless Communication Systems
PublisherCambridge University Press
Number of pages26
ISBN (Electronic)9780511979187
ISBN (Print)9780521197878
StatePublished - Jan 1 2012

All Science Journal Classification (ASJC) codes

  • Engineering(all)


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