Performance Analysis and Prediction for a Free-Space Optical Communication System under Foggy Absorption

Abstract

We analyzed the performance of a freespace optical (FSO) system in this study, considering the combined effects of atmospheric turbulence, fog absorption, and pointing errors. The impacts of atmospheric turbulence and foggy absorption were modeled using the Fisher-Snedecor F distribution and the Gamma distribution, respectively. Next, we derived the probability density function (PDF) and cumulative probability density function of the optical system under these combined effects. Based on these statistical findings, closed-form expressions for various system metrics, such as outage probability, average bit error rate (BER), and ergodic capacity, were derived. Furthermore, we used a deep neural network (DNN) to predict the ergodic capacity of the system, achieving reduced running time and improved accuracy. Finally, the accuracy of the prediction results was validated by comparing them with the analytical results.