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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This paper investigates a low-Earth orbit (LEO) satellite downlink for high-speed data communication in interference situations. A choke ring horn type antenna is used as the data transmitting antenna with an isoflux pattern in the LEO satellite, which has a beam coverage of ±51.6° and a bore-sight gain of 4.4 dBi at 8 GHz. The receiving antenna on the ground station is a parabolic type antenna with a diameter of 11.3 m, and it has a half-power beam width (HPBW) of 0.2° with a maximum gain of 59 dBi at 8 GHz. The jamming-to-signal ratio (J/S) is calculated assuming that the LEO satellite transmits signals to the ground station, and an elevation angle of the interference source varies from 0° to 90° at an altitude of 10 km. Applying antenna characteristics, such as HPBWs and side lobes, to the calculated space wave path loss makes it possible to predict the J/S results according to the location of the interference source and the satellite. The results show that it is necessary to consider the space environment to accurately analyze the LEO satellite downlink, especially at the low elevation angle of the satellite.

Details

Title
Analysis of a Low-Earth Orbit Satellite Downlink Considering Antenna Radiation Patterns and Space Environment in Interference Situations
Author
Kang, Eunjung 1   VIAFID ORCID Logo  ; Yang, Junmo 2 ; Park, YoungJu 3 ; Kim, JungHoon 3 ; Shin, WookHyeon 3 ; Yong Bae Park 4 ; Choo, Hosung 1   VIAFID ORCID Logo 

 Department of Electronic and Electrical Engineering, Hongik University, Seoul 04066, Republic of Korea; [email protected] 
 Department of AI Convergence Network, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea; [email protected] (J.Y.); [email protected] (Y.B.P.) 
 Radar and EW Technology Center Agency for Defense Development, Daejeon 34186, Republic of Korea; [email protected] (Y.P.); [email protected] (J.K.); [email protected] (W.S.) 
 Department of AI Convergence Network, Ajou University, Suwon, Gyeonggi-do 16499, Republic of Korea; [email protected] (J.Y.); [email protected] (Y.B.P.); Department of Electrical and Computer Engineering, Ajou University, Gyeonggi-do 16499, Republic of Korea 
First page
1748
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20724292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2799747703
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.