Authors

Title

Impact of the data uncertainties on the regression model: application to the trajectory-aided surface GNSS navigation

In

Colloque Gretsi, 3-6 septembre 2013

Pages

1–4

Year

2013

Indexed by

Abstract

The railway centerline is defined by a polygonal line with some level of uncertainty in the train onboard database.
The goal of this paper is to estimate the travelled distance, velocity and acceleration by using a low-cost GNSS receiver and to
study the impact of the centerline uncertainty on these estimations. The Least Square (LS) algorithm based on a block of GNSS
measurements and a realistic dynamical train model is designed to estimate the travelled distance, velocity and the acceleration
of the train. The mean error and the second order moment are theoretically calculated for these estimations and compared with
the results of Monte-carlo simulations.

Affiliations

Offprint