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Developing an Effective Optical Satellite Communications Architecture

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Disciplinary Convergence in Systems Engineering Research

Abstract

The recent emergence of optical satellite communications (SATCOM) offers several advantages over traditional radio frequency (RF) SATCOM capabilities. These include achieving higher bandwidths, minimizing the effects of jamming, providing low probabilities of detection and intercept (LPD/LPI), and requiring lower satellite size, weight, and power (SWaP). However, optical SATCOM capabilities have limitations that can make it undependable for certain uses such as in establishing satellite-to-ground links due to the effects of cloud cover. Clouds can completely absorb or refract optical signals and have the most detrimental effects on optical links passing through the Earth’s atmosphere. RF SATCOM offers a variety of advantages that optical SATCOM does not, including the ability to operate reliably through the atmosphere and broadcast over large regions, though the RF spectrum is becoming a scarce resource that is increasingly difficult to manage and share among competing users. As a disadvantage, optical satellite links are also difficult to acquire and maintain because of their narrow beam widths. This paper proposes four optical SATCOM architectures that can mitigate the cloud cover problem using Geostationary Earth Orbit (GEO) satellites, along with intermittent Medium Earth Orbit (MEO) or Low Earth Orbit (LEO) satellites, to improve link availability.

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Abbreviations

ACK:

Acknowledgment

B:

Blue

CPN:

Colored Petri Nets

CPR:

Cloud Profiling Radar

ECE:

Electrical and Computer Engineering

Gbit:

Gigabit

GEO:

Geostationary Earth Orbit

HALE:

High-Altitude Long-Endurance

LEO:

Low Earth Orbit

LOS:

Line-of-Sight

LPD:

Low Probability of Detection

LPI:

Low Probability of Intercept

Mbit:

Megabit

MEO:

Medium Earth Orbit

ML:

Mark-up Language

PCFLOS:

Probability of Cloud-Free Line-of-Sight

R:

Red

RF:

Radio Frequency

SATCOM:

Satellite Communications

SWaP:

Size, Weight, and Power

TCOM:

Telecommunications

UAS:

Unmanned Aerial System

References

  1. Version 4.0, CPN Tools ®, downloaded August 2014, www.cpntools.org

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  3. Reinke D, Forsythe J, .Milberger K, Vonder Haar T (2010) Probability of Cloud-Free Line of Sight (PCFLOS) derived from CloudSat Cloud Profiling Radar (CPR) and coincident CALIPSO Lidar Data. Cooperative Institute for Research in the Atmospherics, Colorado State University, September

    Google Scholar 

  4. George Mason University TCOM 607/ECE 699 Course Slides, Lecture 10, April 2013.

    Google Scholar 

  5. Calvo R, Becker P, Giggenbach D, Molf F, et al (2014) Transmitter diversity verification on ARTEMIS geostationary satellite. SPIE

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Correspondence to Frank E. Skirlo .

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Skirlo, F.E., Sullivan, A., Saidi, A.K. (2018). Developing an Effective Optical Satellite Communications Architecture. In: Madni, A., Boehm, B., Ghanem, R., Erwin, D., Wheaton, M. (eds) Disciplinary Convergence in Systems Engineering Research. Springer, Cham. https://doi.org/10.1007/978-3-319-62217-0_35

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  • DOI: https://doi.org/10.1007/978-3-319-62217-0_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62216-3

  • Online ISBN: 978-3-319-62217-0

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