Sakarya University Journal of Computer and Information Sciences

Sakarya University Journal of Computer and Information Sciences

Rain Rate and Rain Attenuation Prediction For Satellite Communication in Ku Band Beacon Over TURKSAT Golbası

Yazarlar: Yasin Burak KAYA, Ümit Cezmi YILMAZ

Cilt 4 , Sayı 3 , 2021 , Sayfalar 354 - 359

Konular:Telekomünikasyon

DOI:10.35377/saucis...978803

Anahtar Kelimeler:TURKSAT,Rain attenuation,Ku band beacon signal,ITU-838

Özet: Satellite beacon is a signal which does not modulated and sent to ground in constant frequency with a specific designed power. Beacon signals are used by ground station antenna users track the satellite easily. The satellite operators generally choose beacon signal at Ku Band frequency band since this band is more resistant to rain attenuation. Ku band satellite system performance describe by the contribute of rainfall rate and rain attenuation. This paper includes the comparison of rain attenuation in Ku band beacon and taking as a reference ITU – 838 model caused by rain fall rate in TURKSAT premises. It is compared by calculating that how signals affected from rain between 2012, and 2019 observations for a TURKSAT satellite and in this measurement both theoretical formula and data are used.


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BibTex
KOPYALA
@article{2021, title={Rain Rate and Rain Attenuation Prediction For Satellite Communication in Ku Band Beacon Over TURKSAT Golbası}, volume={4}, number={354–359}, publisher={Sakarya University Journal of Computer and Information Sciences}, author={Yasin Burak KAYA,Ümit Cezmi YILMAZ}, year={2021} }
APA
KOPYALA
Yasin Burak KAYA,Ümit Cezmi YILMAZ. (2021). Rain Rate and Rain Attenuation Prediction For Satellite Communication in Ku Band Beacon Over TURKSAT Golbası (Vol. 4). Vol. 4. Sakarya University Journal of Computer and Information Sciences.
MLA
KOPYALA
Yasin Burak KAYA,Ümit Cezmi YILMAZ. Rain Rate and Rain Attenuation Prediction For Satellite Communication in Ku Band Beacon Over TURKSAT Golbası. no. 354–359, Sakarya University Journal of Computer and Information Sciences, 2021.