Optimal link budget to maximize data receiving from remote sensing satellite at different ground stations

Vinay V. Godse; Rukmini B.

doi:10.1117/12.2239592

Abstract

Earth observation satellite plays a significant role for global situation awareness. The earth observation satellite uses imaging payloads in RF and IR bands, which carry huge amount of data, needs to be transferred during visibility of satellite over the ground station. Location of ground station plays a very important role in communication with LEO satellites, as orbital speed of LEO satellite is much higher than earth rotation speed. It will be accessible for particular equatorial ground station for a very short duration. In this paper we want to maximize data receiving by optimizing link budget and receiving data at higher elevation links. Data receiving at multiple ground stations is preferred to counter less pass duration due to higher elevation links. Our approach is to calculate link budget for remote sensing satellite with a fixed power input and varying different minimum elevation angles to obtain maximum data. The minimum pass duration should be above 3 minutes for effective communication. We are proposing to start process of command handling as soon as satellite is visible to particular ground station with low elevation angle up to 5 degree and start receiving data at higher elevation angles to receive data with higher speed. Cartosat-2B LEO earth observation satellite is taken for the case study. Cartosat-2B will complete around 14 passes over equator in a day, out of which only 4-5 passes will be useful for near equator ground stations. Our aim is to receive data at higher elevation angles at higher speed and increase amount of data download, criteria being minimum pass duration of 3 minutes, which has been set for selecting minimum elevation angle.

Citation Download Citation

Vinay V. Godse, Vinay V. Godse, Rukmini B., Rukmini B., "Optimal link budget to maximize data receiving from remote sensing satellite at different ground stations", Proc. SPIE 10000, Sensors, Systems, and Next-Generation Satellites XX, 100001O (19 October 2016); doi: 10.1117/12.2239592; https://doi.org/10.1117/12.2239592

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