Space Segment Module: predicts
satellites trajectories from standard
almanacs, e.g. Almanac YUMA
files, computes satellite trajectories
from user - defined Keplerian
elements; Broadcast Ephemeris
or SP3 Precise Ephemeris.
Visibility Module: evaluates visibility
characteristics of satellite coverage
accounting for mask skyline angles;
DOP (or Geometry) Module: evaluates DOP and Position Error
characteristics of satellite coverage,
position accuracy is estimated from
the position errors covariance matrix.
Availability Module: evaluates
availability of DOP and position
accuracy. Models of satellite outages
and navigation solution errors
are used in this model. Integrity/
Continuity Module consists of
sub modules which can be also
considered as independent modules:
RAIM: evaluates availability of the
snapshot RAIM FD/FDE methods.
SBAS: evaluates availability of
the SBAS Protection Levels.
Galileo: evaluates availability
of protection level according
to concept proposed for
Galileo system, calculates the
pertaining Integrity Risk.
Availability of Integrity Risk: analyses availability of Integrity
Risk according to concept
proposed for Galileo system
GBAS/Galileo LE: analyses
performance of GPS, Galileo
based LAAS systems Route Module: analyses performance
along a specified route
SISE Analysis Module: assesses
satellite orbital and clock errors from
SP3 and RINEX Navigation files.
Further modules which will
be implemented or extended
as part of GalTeC Phase II Data Dissemination Module: simulates disseminating of Galileo
Messages from Ground Mission
Segment via ULS network to
world-wide or regional users.
End-to-End Service Volume
Simulation: This module
will allow error components
simulation on Galileo element
level to analyse the Galileo
Service performance and the
impact of various errors sources.
The prediction of the Galileo
Services according to their
specification, and also with further
parameter settings, shall be done
with the GalTeC Prediction Tool.
The tool shall also allow the
simulation of seldom failures
of the system such as erroneous
behaviour and outages.
Figure 7 and Figure 8 show
examples of the GNSS Services
Accuracy Performance
prediction for the GPS SPS
and the Galileo OS.
A further very important parameter
for the performance assessment
of the Galileo Safety of Life
Service is the Signal in Space
Error (SISE). For the provision
of Galileo integrity, the main
role is assigned to the integrity
flags which are generated in the
Integrity Processing Facility.
The generation of integrity flags
is based on the determination
of SISE in real time. The value
of SISE depends on the number
of ground sensor stations (GSS)
and the satellite to GSS errors. A
further means to determine and
evaluate the SISE performance is
done in post-processing. Figure 9
shows the difference between the
GPS/SP3 reference orbit and the
Broadcast Ephemeris data which
were broadcast in real-time.
The Prediction Tool shall be used for
the dimensioning of services and for
the performance assessment in relation
to the needed signal bandwidth.
The signal bandwidth will probably |