Scalable Positioning Method for MAV Localisation using Two onboard UWB Tags

Master Thesis (2021)
Author(s)

B. van Beurden (TU Delft - Aerospace Engineering)

Contributor(s)

S.U. Pfeiffer – Mentor (TU Delft - Control & Simulation)

G. C. H. E. de Croon – Mentor (TU Delft - Control & Simulation)

Faculty
Aerospace Engineering
Copyright
© 2021 Bas van Beurden
More Info
expand_more
Publication Year
2021
Language
English
Copyright
© 2021 Bas van Beurden
Graduation Date
02-12-2021
Awarding Institution
Delft University of Technology
Programme
['Aerospace Engineering']
Faculty
Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Abstract—Ultra-wideband (UWB) ranging is a very suitable method for indoor localisation of unmanned aerial vehicles (UAVs). Current solutions of UWB ranging however either focus on achieving a high accuracy or focus on scalability. In this research a positioning algorithm for UAVs is presented that combines high accuracy performance with a high level of system scalability. The localisation method uses commercially available off the shelf components and is implemented by connecting two UWB sensors to a micro aerial vehicle. From
both sensors, time-difference of arrival (TDOA) measurements were collected during flights and additionally, a tag-TDOA between the two UWB sensors was measured which estimates the angle-of-arrival of the incoming signals. It was found that state estimation using TDOA measurements from both UWB sensors has a reduced positioning error compared to the algorithm using TDOA measurements from one UWB sensor, without significantly affecting yaw estimation accuracy. Furthermore, the tag-TDOA measurement did not improve the estimation accuracy at the implemented baseline of 0.22 metres as the
measurement error was too large compared to the baseline.

Files

Thesis_B_van_Beurden.pdf
(pdf | 6.43 Mb)
License info not available