Title :
Enhanced noise models for GPS positioning
Author :
Soundy, Andrew W. R. ; Panckhurst, Bradley J. ; Molteno, Tim C. A.
Author_Institution :
Dept. of Phys., Univ. of Otago, Dunedin, New Zealand
Abstract :
We analyze GPS position recordings, and show that they have long term autocorrelation functions. The traditional approach of assuming Gaussian uncertainties is therefore potentially problematic. We suggest some alternative noise models such as the Ornstein-Uhlenbeck process or autoregressive process, that can be used for state estimation.
Keywords :
Global Positioning System; autoregressive processes; GPS position recordings; Gaussian uncertainties; Ornstein-Uhlenbeck process; autoregressive process; enhanced noise models; state estimation; Autoregressive processes;
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
Conference_Location :
Queenstown
DOI :
10.1109/ICARA.2015.7081121
