Higher-Order GPS Noise Models, with Applications to Position Inference and Vehicle Navigation
Soundy, Andrew Walden Ross

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Soundy, A. W. R. (2017). Higher-Order GPS Noise Models, with Applications to Position Inference and Vehicle Navigation (Thesis, Master of Science). University of Otago. Retrieved from http://hdl.handle.net/10523/7167
Permanent link to OUR Archive version:
http://hdl.handle.net/10523/7167
Abstract:
This thesis presents an experimental and theoretical investigation of GPS errors. Data from stationary GPS units were gathered from several locations and an analysis of the noise present was undertaken. Several noise models were proposed and their relative performance compared using the Akaike Information Criterion. A vehicle navigation system was implemented using a dynamical vehicle model which combined GPS, accelerometer and gyroscope measurements via a nonlinear Kalman filter to enable superior position and velocity estimation, especially during shortterm losses of GPS signal.
Date:
2017
Advisor:
Molteno, Tim
Degree Name:
Master of Science
Degree Discipline:
Electronics
Publisher:
University of Otago
Keywords:
GPS; Noise; Filtering
Research Type:
Thesis
Languages:
English
Collections
- Physics [120]
- Thesis - Masters [3375]