Verification Of Quantitative Requirements
For GNSS-based Railway Applications
Author(s)
H. Mocek, A. Filip & L. Bažant
Abstract
The objective of this paper is to verify whether requirements for GNSS-based
railway telematic applications are met through GNSS Safety of Life (SoL)
services. Measurement methodology was developed for this purpose. An analysis
of the achievement of railway requirements was subsequently performed. This
technique represents a contribution to the certification process of the GNSS
system, which must prove that the required parameters are fulfilled. The analysis
consists of: 1) evaluation of static measurements to verify GNSS system
behaviour under standard conditions of GNSS Signal-In-Space (SIS) reception,
and 2) analysis of dynamic tests focused on train position and protection level
determination under variable conditions of GNSS SIS reception in a real railway
environment. Experimental tests have been carried out using GPS/EGNOS
receivers that meet requirements for the SoL service according to the RTCA
DO-229D standard.
Keywords: GNSS, Signal-In-Space, certification, EGNOS, non-precision
approach, Rayleigh distribution, overbounding, reliability, availability, SIRF III.
1 Introduction
Certification of European navigation satellite system Galileo must be carried out
before this GNSS system can be used in railway applications, especially in
safety-related ones. A contribution to the certification process was previously
performed by determining the minimum quality requirements for GNSS-based
railway applications (Mocek et al. [1]). The next step in the certification process
should be the verification that the proposed requirements are fulfilled. This paper
evaluates the fulfilment of railway requirements on the basis of experiments with
GPS/EGNOS receivers that meet requirements for the SoL applications
Keywords
GNSS, Signal-In-Space, certification, EGNOS, non-precision
approach, Rayleigh distribution, overbounding, reliability, availability, SIRF III
Related Book
Other papers in this volume
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