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MATLAB/STK Analysis Integration for the Space Sustainability Rating


Term:

Fall

Department:

MAS: Media Arts and Sciences

Faculty Supervisor:

Danielle Wood

Faculty email:

drwood@mit.edu

Apply by:

September 15, 2020

Contact:

Riley Steindl: rsteindl@mit.edu

Project Description

The Space Enabled Research Group works to advance justice in Earth’s complex systems using designs enabled by space. The group considers three broad research thrusts: (1) Developing space technologies that advance the United Nations Sustainable Development Goals (UN SDGs), (2) Working to make space and its benefits accessible for all and sustainable for the future, and (3) Exploring the relationship between technology and social inequity." The space domain surrounding the Earth is a valuable and limited resource that is shared by all of humanity. As it becomes more crowded we need to be more conscious and sustainable in how we use it. A small team in Space Enabled is working with collaborators in ESA and other universities to develop a Space Sustainability Rating (SSR) to encourage more responsible and sustainable uses of space. One of the modules of this rating system revolves around an analytical model designed to estimate how difficult it will be to Detect, Identify, and Track (DIT) a given satellite once it is in orbit. Utilizing MATLAB and STK simulation and analysis tools, the current version of the analysis represents a foundation for future iterations and improvements to the SSR as a whole. We are looking for an undergraduate student to work with the DIT team to integrate the currently separate analysis components of the DIT model into a unified tool for the SSR. Applicants should be comfortable with coding, and have a familiarity with MATLAB. The selected student will work alongside the graduate student in charge of the DIT analysis to develop the MATLAB script and learn how to integrate MATLAB and STK analyses into one script. If you are interested or have questions about this UROP, you may contact Riley Steindl (rsteindl@mit.edu).

Pre-requisites

Experience with coding, familiarity with MATLAB, and an interest in satellites and orbital analysis