UAS Position Estimation in GPS Degraded/Denied Skies via WiFi and Cell Network Data (WiCeNav)
| dc.contributor.advisor | Vagners, Juris | |
| dc.contributor.advisor | Lum, Christopher | |
| dc.contributor.author | Davis, Matthew Joseph | |
| dc.date.accessioned | 2020-08-14T03:24:35Z | |
| dc.date.issued | 2020-08-14 | |
| dc.date.submitted | 2020 | |
| dc.description | Thesis (Master's)--University of Washington, 2020 | |
| dc.description.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. | |
| dc.embargo.lift | 2022-08-04T03:24:35Z | |
| dc.embargo.terms | Restrict to UW for 2 years -- then make Open Access | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.other | Davis_washington_0250O_21455.pdf | |
| dc.identifier.uri | http://hdl.handle.net/1773/45811 | |
| dc.language.iso | en_US | |
| dc.rights | none | |
| dc.subject | Cellular Navigation | |
| dc.subject | GPS Denied | |
| dc.subject | UAV Position Estimation | |
| dc.subject | Aerospace engineering | |
| dc.subject.other | Aeronautics and astronautics | |
| dc.title | UAS Position Estimation in GPS Degraded/Denied Skies via WiFi and Cell Network Data (WiCeNav) | |
| dc.type | Thesis |
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