Bernese GPS Software Version 5.0 - Bernese GNSS Software

20. Processing Examples
PID 313 MPRXTR: Program MPRXTR creates a summary of the previous preprocessing
step. This file is included in the processing summary. An rms value larger than 20 mm
and/or baseline corrections much larger than 0.5 m, as well as a lot of ambiguities
may point out a possible data problem.
PID 321 GPSEDTAP: Prepares the parallel run of the GPSEDT P script.
PID 322 GPSEDT P: This script performs a double-difference phase residual screening. Altogether
four Bernese programs are started in sequence:
(1) GPSEST to create residual files,
(2) RESRMS to screen these files for outliers,
(3) SATMRK to mark identified outliers, and
(4) GPSEST to create final (clean) residual files and store normal equation files.
In both GPSEST runs all coordinates are loosely constrained to their a priori values. If
an elevation-dependent observation weighting scheme is applied, normalized residuals
should be stored. RESRMS checks the residual files for outliers based on the options
in panel “RESRMS 2: Options”. Detected outliers are listed in an edit information file
(EDTssssxxx.EDT). SATMRK accordingly marks the corresponding observations.
PID 331 GPSCHK: Checks the screening results from the previous step and rejects data of
misbehaving stations if necessary. Two programs are used:
(1) RESRMS to create summaries from the first (unscreened) and final residual files.
(2) RESCHK to create residual screening statistics and detect bad stations based on
their overall performance.
The summaries created by RESRMS and RESCHK are included in the processing summary.
Problematic stations or satellites are indicated by large residuals and/or a very
high percentage of deleted data.
If program RESCHK detects a misbehaving station (depending on the options in panel
“RESCHK 2.1: Detection of Bad Stations”) the corresponding observation file is listed in a
deletion file (EDTyyssss.DEL). The GPSCHK script then deletes the rejected file and jumps
back to PID 301 (baseline creation) to create a new network of baselines without the deficient
station and to repeat the preprocessing. This screening loop (PIDs 301–331) is continued
until all stations are accepted. As single-difference files are screened, other (actually good)
stations may be afflicted with errors propagated from the misbehaving station. That’s why
program RESCHK is only allowed to delete one (the worst) station per iteration step to
prevent these stations from being dragged along and being deleted, too.
Further reading: Section 6.4: Forming Baselines (page 113), Section 6.5: Preprocessing Phase
Observations (page 115), Chapter 7: Parameter Estimation (page 139), Section 7.4.4: Real
and Normalized Residuals (page 144), Section 6.6: Screening of Post-Fit Residuals (page
130), Section 6.7: Marking of Observations (page 136), Section 6.6.3: Detect Misbehaving
Stations and Satellites (page 134), Section 19.5.2: Parallel Processing (page 391), Section
19.5.3: Special Actions SKIP and NEXTJOB (page 392).
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