Paper Info
Title
A Study on Optimizing Laser Beam Waist for LEO-To-GEO Communication for 100 Kg-Class Satellite
Abstract
Recently, 100 kg-class satellites have been emerging to cope with demand of advanced missions that require a sufficient number of satellites in orbits. Short time and low cost for development and launch bring potential of mass production and feasibility for this satellite class to accomplish the above missions. However, the traditional communication method, in which a 100 kg-class satellite sends data directly to a ground station, is limited in terms of speed and duration. Moreover, the constraint of having a line of sight between the small satellite and the ground station makes it impossible to transfer data taken by the satellite to ground in real time. Therefore, a laser communication relay from the 100 kg-class satellite in low earth orbit (LEO, ≤2000 km) through a satellite in geostationary orbit (GEO, ~36,000 km) is potential to improve communication performance significantly. In this paper, we show a feasibility study of a LEO-to-GEO communication for a 100 kg-class satellite by conducting a parametric study of the communication model. We then discuss a scheme to optimize the laser beam waist dynamically to achieve the minimal average bit error probability (ABEP) under the pointing error caused by the LEO satellite's vibration. Using an asymptotic form of a modified Bessel function, we also introduce an approximation of the dynamic optimal beam waist. A comparison with the traditional fixed-beam optimization approach is also given to show the merits of the dynamic-beam controlling approach.
Year
DOI
Venue
2020
10.1109/CCCI49893.2020.9256612
2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI)
Keywords
DocType
ISBN
Laser communication,small satellite,LEO,GEO,Relay
Conference
978-1-7281-7316-0
Citations 
PageRank 
References 
0
0.34
1
Authors
5
Name
Order
Citations
PageRank
Phong Xuan Do100.34
Alberto Carrasco-Casado210.71
Takayuki Hosonuma300.34
Morio Toyoshima452.16
Shinichi Nakasuka55317.36