<p>In this work, an analytical framework to evaluate average channel capacity of a radio over free space optical (RoFSO) communication system is presented. A closed form expression for the average channel capacity of RoFSO system in Turbulent Atmosphere Modelled by Log-normal Distribution is derived. Average channel capacity of RoFSO system with optical double sideband (ODSB) and optical single sideband (OSSB) modulation is evaluated using proposed expression. Further, the influence of various parameters such as, refractive index structure parameter, bit rate and responsivity, on overall performance of the system is observed. The performance of RoFSO system with OSSB is found to be better than with ODSB. The effect of thermal noise and shot noise dominated systems is also analyzed at receiver end for RoFSO system employing OSSB modulation. The accuracy of results computed from our expressions is in good correlation with Monte Carlo simulation over a wide range of signal to noise ratio.</p>

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Capacity analysis of radio-over-FSO system in turbulent atmosphere modelled by log-normal distribution

  • Rahul Kaushik,
  • Ankur Sood

摘要

In this work, an analytical framework to evaluate average channel capacity of a radio over free space optical (RoFSO) communication system is presented. A closed form expression for the average channel capacity of RoFSO system in Turbulent Atmosphere Modelled by Log-normal Distribution is derived. Average channel capacity of RoFSO system with optical double sideband (ODSB) and optical single sideband (OSSB) modulation is evaluated using proposed expression. Further, the influence of various parameters such as, refractive index structure parameter, bit rate and responsivity, on overall performance of the system is observed. The performance of RoFSO system with OSSB is found to be better than with ODSB. The effect of thermal noise and shot noise dominated systems is also analyzed at receiver end for RoFSO system employing OSSB modulation. The accuracy of results computed from our expressions is in good correlation with Monte Carlo simulation over a wide range of signal to noise ratio.