Abstract
The objective of the communication subsystem is to communicate with ground stations to download information and transfer directions. The carrier-to-noise ratio of both the telemetry downlink and the order uplink is determined as a figure of legitimacy for the station conveying capacity of the connection. The proposed subsystem additionally enables the client to choose which ground stations are dynamic through a ground station menu. Alternate parameters in this menu are the ground station: name, scope, longitude, and elevation. Presently, there are 6 stations characterized. The client can include or erase from this rundown through this menu. The section isolated into three stages, stage 1 is to process the azimuth edge, rise point and separation among satellite and the ground station while stage 2 is to register the uplink and down connection parameters. Stage 3 is an isolated work and it manages crating query tables for information bundles.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
P. Pathak, X. Feng, P. Hu, P. Mohapatra, Visible light communication, networking and sensing: a survey, potential and challenges. IEEE Commun. Surv. Tutor. 17(4), 2047–2077 (2015) (fourth quarter)
NASA-AMES, Mars Climate Modeling Center, http://spacescience.arc.nasa.gov/mars-climate-modeling-group/brief.html, accessed online on 29 Mar 2016 [Online]. Available http://spacescience.arc.nasa.gov/mars-climate-modeling-group/brief.html
D. Amanor, W. Edmonson, F. Afghah, Presentation slides: utility of light emitting diodes for inter-satellite communication in multi-satellite networks, in 2016 IEEE International Conference on Wireless for Space and Extreme Environments, Aachen (2016)
A. Alonso-Arroyo, V.U. Zavorotny, A. Camps, Sea ice detection using GNSS-R data from UK TDS-1, in Proceedings of the 2016 IEEE International Geoscience Remote Sensing Symposium, IEEE (2016), pp. 2001–2004
Space Studies Board, Achieving science with cubesats—thinking inside the box, National Academy of Sciences, Engineering and Medicine, Technical Report (2016) [Online]. Available https://www.nap.edu/catalog/23503/achieving-science-with-cubesats-thinking-inside-the-box
A. Alonso-Arroyo et al., On the correlation between GNSS-R reflectivity and L-band microwave radiometry. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 9(12), 1–18 (2016)
Hyuk Park et al., A Generic level 1 simulator for spaceborne GNSS-R missions and application to GEROS-ISS ocean reflectometry, IEEE J. Sel. Top. Appl. Earth Observ Remote Sens. 10(10), 4645–4659 (2017)
M. Unwin, P. Jales, J. Tye, C. Gommenginger, G. Foti, J. Rosello, Spaceborne GNSS-reflectometry on TechDemoSat-1: early mission operations and exploitation. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 9(10), 4525–4539 (2016)
J. Wickert et al., GEROS-ISS: GNSS reflectometry radio occultation and scatterometry onboard the international space station. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 9(10), 4552–4581 (2016)
H. Park, A. Camps, D. Pascual, Y. Kang, R. Onrubia, GARCA/GEROS-SIM M2 (Instrument to L1 module) web online simulation tool (2017)
Sarthak Singhal, Amit Kumar Singh, CPW-fed octagonal super-wideband fractal antenna with defected ground structure. IET Microw. Antennas Propag. 11(3), 370–377 (2017)
D. Amanor, Visible light communication physical layer development for inter-satellite communication. Ph.D. dissertation, North Carolina A&T State University (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ezzat, K.A., Mahdy, L.N., Hassanien, A.E., Darwish, A. (2020). Design, Implementation, and Validation of Satellite Simulator and Data Packets Analysis. In: Hassanien, A., Darwish, A., El-Askary, H. (eds) Machine Learning and Data Mining in Aerospace Technology. Studies in Computational Intelligence, vol 836. Springer, Cham. https://doi.org/10.1007/978-3-030-20212-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-20212-5_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20211-8
Online ISBN: 978-3-030-20212-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)