Experimental investigation of pointing errors on drone-based FSO systems

Title Experimental investigation of pointing errors on drone-based FSO systems
Author Tosun, Anılcan, Nouri, Hatef, Uysal, Murat
Publication Date: 2020-10-05
Publication Place - IEEE
Subject Free space optical (FSO) communications, Pointing error, Tracking, Unmanned aerial vehicle (UAV), Drone
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 978-1-7281-7206-4
Record ID 9c5e32b8-e7bf-4598-96f2-4ed840c98d95
Library Location Electrical & Electronics Engineering
Date 2020-10-05
Sample Text Airborne free space optical (FSO) links can be efficiently used for backhaul/fronthaul needs of future cellular networks. Unlike terrestrial FSO links where a fixed connection between two buildings is considered, airborne FSO links bring unique challenges due to the mobility of the drone. In this paper, we carry out an experimental study to demonstrate the effect of pointing errors in drone-based FSO systems. We employ a supervised learning method for tracking purpose of the FSO signal. We take power measurements and characterize the probability distribution of the received signal power. We further present comparisons between tracking and non-tracking cases and demonstrate the benefits of the tracking system.
DOI 10.1109/SIU49456.2020.9302228
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Experimental investigation of pointing errors on drone-based FSO systems

Author Tosun, Anılcan, Nouri, Hatef, Uysal, Murat
Publication Date 2020-10-05
Publication Place - IEEE
Subject Free space optical (FSO) communications, Pointing error, Tracking, Unmanned aerial vehicle (UAV), Drone
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 978-1-7281-7206-4
Record ID 9c5e32b8-e7bf-4598-96f2-4ed840c98d95
Library Location Electrical & Electronics Engineering
Date 2020-10-05
Sample Text Airborne free space optical (FSO) links can be efficiently used for backhaul/fronthaul needs of future cellular networks. Unlike terrestrial FSO links where a fixed connection between two buildings is considered, airborne FSO links bring unique challenges due to the mobility of the drone. In this paper, we carry out an experimental study to demonstrate the effect of pointing errors in drone-based FSO systems. We employ a supervised learning method for tracking purpose of the FSO signal. We take power measurements and characterize the probability distribution of the received signal power. We further present comparisons between tracking and non-tracking cases and demonstrate the benefits of the tracking system.
DOI 10.1109/SIU49456.2020.9302228
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