Development of Opto-Electronic Free Space Optics Rain Attenuation Mathematical Model with Optisystem for Topological Optical link Analysis

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S. Selva Nidhyananthan, Shilpa Prashant Kodgire, Tilak Mukherjee, Papun Biswas, Jitendra Singh Tamang, B. Ganesh Pandi, M. Harienthiran, Bhaskar Roy

Abstract

The major obstacle in free space optics FSO is how the data penetrates atmospheric attenuation disturbances like rain, fog, dust storms and snow. The performance of FSO communications is greatly influenced by how one can choose the desired modulation technique. The proposed FSO circuit is designed with a free space range stretching up to 1.85 km. Even though it covers a small radius, we can implement this technique in areas where installing fiber optic cables is impractical.  The goal of the proposed work is to use this system to create a new rain attenuation model TSNGH for our region with current rainfall data. For analysis of the FSO circuit under rain attenuation conditions, different kinds of experiments and calculations are carried out with the Optisystem software. With the help of the performance measures; Q factor and BER are evaluated and improved results are accomplished.

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Author Biography

S. Selva Nidhyananthan, Shilpa Prashant Kodgire, Tilak Mukherjee, Papun Biswas, Jitendra Singh Tamang, B. Ganesh Pandi, M. Harienthiran, Bhaskar Roy

S. Selva Nidhyananthan1, Shilpa Prashant Kodgire2, Tilak Mukherjee3, Papun Biswas4, Jitendra Singh Tamang5, B. Ganesh Pandi6, M. Harienthiran7, Bhaskar Roy8

1,6,7Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, India.

2Department of Electronics and Telecommunication Engineering, Maharashtra Institute of Technology, India

3Department of Electronics and Telecommunication Engineering, Haldia Institute of Technology, India

4Department of Computer Science, Nahata Jogendranath Mondal Smriti Mahavidyalaya, India

5Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, India

5Department of Artificial Intelligence and Machine Learning, Asansol Engineering College, India

nidhyan@gmail.com, spkodgire@gmail.com, mukherjeetilak@gmail.com, papunbiswas@gmail.com, js.tamang@gmail.com, ganesh.thurs@gmail.com, harienthiran2000@gmail.com, bhaskar.aiml@aecwb.edu.in