Diagnostics of GNSS-based Virtual Balise in Railway Using Embedded Odometry and Track Geometry

Abstract

Heekwon No is a postdoctoral researcher in the Ecole Nationale de l'Aviation Civile (ENAC), France. He received B.S. and Ph.D.

Simplified GNSS Fusion-based Train Positioning System and its Diagnosis

“…This method detects fault in position solution of GNSS by using odometer and track information which are embedded on the train. The concept of this method will be briefly introduced, and the details of this method can be found in [1]. Raw monitors for along-track direction, (1), cross track direction, (2), and vertical direction, (3) are defined as follows:…”

“…Therefore, bank of monitors is constituted with raw monitor and moving averaged monitors with different window sizes for all three direction in order to achieve both of fast detection for fast rated fault and sensitivity for slow rated fault. In our previous research [1], exponentially weighted moving average (EWMA) was implemented. However, addressing threshold for EWMA monitor requires heavy computation due to time-correlated nature of GNSS range measurements.…”

“…Error models for GNSS range measurements are identical to those of our previous research [1]. Modeling of GNSS errors follows previous work [4] and standard assumptions [5].…”