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An efficient fuzzy map rule based FSO communication through turbulent atmosphere

FSO technology is useful where physical connections are impractical due to high cost or other considerations. Atmospheric turbulence is small scale, irregular air motions characterized by winds that vary in speed and direction. Turbulence is important because it mixes and churns the atmosphere and causes the water vapour , smoke , and other substances. Turbulence near the Earth's surface differ from that at higher levels. Atmospheric turbulence can degrade the performance of free-space optical links, particularly over ranges of the order of 1 km or longer. In this paper, we address the problem of optimum signal detection for the channel-aided free-space optics. To tackle the problem of high latency in communication we propose adaptive fuzzy threshold approach. The system status can be modelled as membership functions in Fuzzy Logic. A simulation platform is established to evaluate the innovative architecture and results demonstrate the performance of the proposed system.