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Localization: GPS and GPS-free Algorithms [S-17-41]

The presenters will cover the basics of ranging, multi-lateration, and localization. They will discuss applications of localization, including GPS, as well as solutions for indoor localization. In the first session, they will cover background, theory, and algorithms. In the second session, they will participate in hands-on activities to demonstrate how localization works.

Mahesh Banavar is an Assistant Professor in the Department of Electrical and Computer Engineering at Clarkson University. His research area is signal processing and communications, and he is specifically working on wireless communications and sensor networks. Mahesh is a member of MENSA and the Eta Kappa Nu honor society.

Kevin Mack is currently pursuing an M.S. degree in Electrical Engineering at Clarkson University, where he received his B.S. degree in Electrical Engineering in May of 2016. His concentration is in signal processing, and his interests are in digital signal processing, machine learning, and localization. His research is currently on localization with the Android platform, focusing on both the associated technical and educational aspects. Part of his training has been focused on educational outreach, and he serves as a TA at Clarkson for introductory signal processing courses.

NOTE: 1) Suggested link: cosine.clarkson.edu and 2) Check the SOAR course page for “Localization: GPS and GPS-free Algorithms”; if you have an Android type cell phone, you might be able to download an app to use in the second class.

NOTE: 2) Use the link below to review the PowerPoint we saw in the first class (Be patient, it takes awhile to download this 40 slides .pdf version:
http://cosine.clarkson.edu/SOAR.html
You also have access to about 40 minutes of video of the presenter's day 1 lecture on his site.

Cap: 50