UAS Position Estimation in GPS Degraded/Denied Skies via WiFi and Cell Network Data (WiCeNav)

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Davis, Matthew Joseph

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Abstract

Smart phones tell us where we are. How do they accomplish this task? Moreover, how do they accomplish this task when a GPS signal is not present? What specific functionality exists in cellular networks that allows this? Once identified, can that functionality be used in a small payload for UAS? Are there commercial solutions that already do this? Why or why not? This thesis aims to answer these questions by delving into network specifications, investigating a variety of commercial off the shelf solutions as well as several custom ones, and will ultimately detail a mixed signal solution that provides a GPS independent position estimate. The proposed solution uses readily available hardware running a signal agnostic software package.

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Thesis (Master's)--University of Washington, 2020

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