[GSOC2017] SiqNAL: CubeSat tracking using IQ stream data


CubeSats is a class of nanosatellites that uses a standard size and form factor. The standard CubeSat size is one unit  or 1U  measuring 10x10x10 cms and is extendable to larger sizes; 1.5, 2, 3, 6, and even 12U. Originally developed in 1999 by California Polytechnic State University of San Luis Obispo (Cal Poly) and Stanford University to provide a platform for education and space exploration. The development of CubeSats has expanded its industry, academy, and industry with ever-increasing capabilities. CubeSats now provides a cost-effective platform for science investigations, new technology demonstrations and advanced mission concepts using constellations, swarms disaggregated systems.

While CubeSats came into the picture for it’s low cost of manufacturing with many small to medium sized individuals. So through this project.

Project Requirements

This project is made using python-3.x or python 2.7. Python libraries used for this project are

  • scipy-0.18.1
  • matplotlib-2.0.0
  • Numpy-1.12.0
  • PyQt4-4.11.4

Except for PyQt4 all other libraries can be installed using python package manager. Installation of PyQt4 depends on the distribution. Detailed guide for installation of requirements is available  here

Overview of Project

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