Esraa K. Al – Gazzi; Ekbal H. Ali; Assel J. Mohammed
Abstract
The performance and reliability of a free-space optical (FSO) communication system can be greatly increased using various methods. The primary goal of each technique is to reduce the ...
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The performance and reliability of a free-space optical (FSO) communication system can be greatly increased using various methods. The primary goal of each technique is to reduce the effect of disturbances that lead to intensity or phase fluctuations in the system's receiver. Recent issues include increased data consumption and a crowded radio frequency spectrum, where free-space optical communication (FSOC) has changed the way people share information in a big way. In place of wired communication systems, it is possible to transport voice, video, and data effectively through air. High speed, cost savings, small buildings, low power consumption, energy economy, maximum transfer capacity, and adaptability are some of the main advantages of FSOC. Repair downtime can be reduced because of the quick advancement of high-speed connection technology. It is also now possible to quickly establish a backup network in an emergency or crisis. The design of FSO systems for two types of digital modulation techniques is the primary focus of this work. An examination of the FSO link's performance in various channel conditions using various modulation techniques is conducted. This analytical mechanism can aid a modulation strategy for various channel conditions. The results indicated that PSK modification is stronger against atmospheric turbulence than ASK modification in terms of quality factor and signal-to-noise ratio (SNR). In addition, the values of received power, quality factor, and signal-to-noise ratio were higher in the case of atmospheric turbulence during rain than in the case of fog, followed by dust conditions. The systems can operate using adaptive optics and evaluate the system's performance in the presence of atmospheric turbulence in terms of signal quality, received power, and signal-to-noise ratio.
