Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings

Research Article

Monthly and Seasonal CFLOS Statistics for Optical GEO Feeder Links Design

Download
220 downloads
  • @INPROCEEDINGS{10.1007/978-3-319-76571-6_16,
        author={Nikolaos Lyras and Charilaos Kourogiorgas and Athanasios Panagopoulos and Konstantinos Liolis},
        title={Monthly and Seasonal CFLOS Statistics for Optical GEO Feeder Links Design},
        proceedings={Wireless and Satellite Systems. 9th International Conference, WiSATS 2017, Oxford, UK, September 14-15, 2017, Proceedings},
        proceedings_a={WISATS},
        year={2018},
        month={3},
        keywords={Optical satellite communications Cloud-Free-Line of Sight probability CFLOS Cloud coverage Seasonal and monthly variability},
        doi={10.1007/978-3-319-76571-6_16}
    }
    
  • Nikolaos Lyras
    Charilaos Kourogiorgas
    Athanasios Panagopoulos
    Konstantinos Liolis
    Year: 2018
    Monthly and Seasonal CFLOS Statistics for Optical GEO Feeder Links Design
    WISATS
    Springer
    DOI: 10.1007/978-3-319-76571-6_16
Nikolaos Lyras1,*, Charilaos Kourogiorgas1,*, Athanasios Panagopoulos1,*, Konstantinos Liolis2,*
  • 1: National Technical University of Athens
  • 2: SES S.A.
*Contact email: lyrasnikos@central.ntua.gr, harkour@mail.ntua.gr, thpanag@ece.ntua.gr, Konstantinos.Liolis@ses.com

Abstract

A methodology for the generation of seasonal and monthly cloud-free-line of sight (CFLOS) statistics for single optical satellite slant paths and joint CFLOS statistics for multiple spatially separated optical satellite links is proposed and evaluated with numerical results. It is assumed that the blockage of the satellite link is considered with the occurrence of clouds. The reported methodology is based on the stochastic dynamic modeling of Integrated Liquid Water Content (ILWC) and uses as inputs monthly statistical parameters of the logarithm of (ILWC) to produce CFLOS statistics. This methodology is an extension of an existing model that captures very well both the seasonal and monthly variability of clouds. The proposed model takes into account the temporal and spatial correlation of clouds, the elevation angle and the altitude of the ground station among others. The numerical results are concentrated on for hypothetical satellite links with optical gateways located in North and South hemisphere respectively are presented. The numerical results are compared with the corresponding annual results.