Experimental investigation of pointing errors on drone-based FSO systems

Name: Experimental investigation of pointing errors on drone-based FSO systems
Author: Tosun, Anılcan, Nouri, Hatef, Uysal, Murat

İsim	Experimental investigation of pointing errors on drone-based FSO systems
Yazar	Tosun, Anılcan, Nouri, Hatef, Uysal, Murat
Basım Tarihi:	2020-10-05
Basım Yeri	- IEEE
Konu	Free space optical (FSO) communications, Pointing error, Tracking, Unmanned aerial vehicle (UAV), Drone
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-7281-7206-4
Kayıt Numarası	9c5e32b8-e7bf-4598-96f2-4ed840c98d95
Lokasyon	Electrical & Electronics Engineering
Tarih	2020-10-05
Örnek Metin	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

Yazar Tosun, Anılcan, Nouri, Hatef, Uysal, Murat

Basım Tarihi 2020-10-05

Basım Yeri - IEEE

Konu Free space optical (FSO) communications, Pointing error, Tracking, Unmanned aerial vehicle (UAV), Drone

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-7281-7206-4

Kayıt Numarası 9c5e32b8-e7bf-4598-96f2-4ed840c98d95

Lokasyon Electrical & Electronics Engineering

Tarih 2020-10-05

Örnek Metin 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