2019-06-13
Monthly Cloud Free LOS Time Series Generator for Optical Satellite Links
By
Progress In Electromagnetics Research Letters, Vol. 85, 25-30, 2019
Abstract
In this letter, a space time synthesizer for the generation of monthly cloud free line of sight (CFLOS) statistics is presented. The proposed monthly time series generator is based on the synthesis of 3D cloud fields using Stochastic Differential Equations. Monthly Integrated Liquid Water Content (ILWC) statistics are used as inputs, and the temporal and spatial correlation of clouds is considered. The monthly variability of the cloud coverage is predicted, and the CFLOS is estimated taking into account the elevation angle of the slant path and the altitude of the station for high altitude optical ground stations. Finally, CFLOS numerical results are reported, and some significant conclusions are drawn.
Citation
Nikolaos K. Lyras, Theodore T. Kapsis, and Athanasios Panagopoulos, "Monthly Cloud Free LOS Time Series Generator for Optical Satellite Links," Progress In Electromagnetics Research Letters, Vol. 85, 25-30, 2019.
doi:10.2528/PIERL18122103
References

1. Kaushal, H. and G. Kaddoum, "Optical communication in space: Challenges and mitigation techniques," IEEE Comm. Surv. & Tut., Vol. 19, No. 1, 57-96, Aug. 2016.
doi:10.1109/COMST.2016.2603518        Google Scholar

2. Fuchs, C. and F. Moll, "Ground station network optimization for space-to ground optical communication links," IEEE/OSA J. of Opt. Comm. and Net., Vol. 7, No. 12, 1148-1159, Dec. 2015.
doi:10.1364/JOCN.7.001148        Google Scholar

3. Poulenard, S., et al. "Ground segment design for broadband geostationary satellite with optical feeder link," J. Opt. Commun. Netw., Vol. 7, No. 4, 325-336, 2015.
doi:10.1364/JOCN.7.000325        Google Scholar

4. Fuchs, C., et al. "Performance estimation of optical LEO downlinks," IEEE Journal on Selected Areas in Communications, Vol. 36, No. 5, 1074-1085, May 2018.
doi:10.1109/JSAC.2018.2832831        Google Scholar

5. Lyras, N. K., et al. "Cloud attenuation statistics prediction from Ka-band to optical frequencies: Integrated liquid water content field synthesizer," IEEE Transactions on Antennas and Propagation, Vol. 65, No. 1, 319-328, Jan. 2017.
doi:10.1109/TAP.2016.2630602        Google Scholar

6. Lyras, N. K., et al. "Cloud free line of sight prediction modeling for optical satellite communication networks," IEEE Communications Letters, Vol. 21, No. 7, 1537-1540, Jul. 2017.
doi:10.1109/LCOMM.2017.2681073        Google Scholar

7. Lyras, N. K., et al. "Optimum monthly based selection of ground stations for optical satellite networks," IEEE Communications Letters, Vol. 22, No. 6, 1192-1195, Jun. 2018.
doi:10.1109/LCOMM.2018.2819174        Google Scholar

8. Luini, L. and C. Capsoni, "Modeling high-resolution 3-D cloud fields for earth-space communication systems," IEEE Transactions on Antennas and Propagation, Vol. 62, No. 10, 5190-5199, Oct. 2014.
doi:10.1109/TAP.2014.2341297        Google Scholar

9. ITU-R Recommendation P.1853-1 "Tropospheric attenuation time series synthesis,", ITU-R P.1853-1, Geneva, Switzerland, 2012.        Google Scholar

10. ITU-R Recommendation P.840-6 "Attenuation due to clouds and fog,", Geneva, Switzerland, 2013.        Google Scholar

11. Perlot, N., T. Dreischer, C. M. Weinert, and J. Perdigues, "Optical GEO feeder link design," Proc. Future Netw. Mobile Summit (FutureNetw), 1-8, Jul. 2012.        Google Scholar