Analyzation of Q-factor for Free Space Optical Communication System Using Neural Network

Abstract

Analyzation of Q-factor for Free Space Optical Communication System Using Neural Network There are many options for optical fiber communication system configurations according to user satisfaction, but to establish this system it is essential to simulate the system to avoid unexpected output. To predict the output, among other mathematical tools, many researchers found the neural network is remarkable and one of the most promising methodological approaches to perform network-data analysis and enable automated network self-configuration and fault management. In this research paper, we proposed a neural network to perform optical communications and networking analysis, summarize and compare some classical research using the MATLAB tools. For training and test data, as the maximum quality factor can be achieved using Gaussian optical filter compared to different optical filters simulated by optical communication system design software product by the optical-wave team, we’ve used the Gaussian optical filter throughout the procedure. We also have used different data rates and diameter aperture. And the system performance is evaluated using the BER curve, Q factor, eye diagram, and spectrum analyzer output