Bernese GPS Software Version 5.0 - Bernese GNSS Software

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20. Processing Examples 20.4.1.5 Take into Account NNR-NUVEL-1A Velocities (if desired) This block allows to take into account station velocities according to the NNR-NUVEL-1A model [DeMets et al., 1994], if so desired. The scripts are executed only if the BPE variable V PLDINF is defined. # # Take into account NNR-NUVEL1-A velocities (if desired) # ------------------------------------------------------ 401 PPP_PLD PPP_GEN ANY 1 321 402 NUVELO PPP_GEN ANY 1 401 403 COOVEL PPP_GEN ANY 1 402 411 CRDMERGE PPP_VEL ANY 1 403 421 CRDMERGE PPP_CRD ANY 1 411 431 ADDNEQ2 PPP_GCC ANY 1 322 421 PID 401 PPP PLD: If the BPE-variable V PLDINF is left blank, the remaining PIDs in this block are skipped, and execution resumes at PID 421. PID 402 NUVELO: The velocity field for the stations is computed according to the NNR- NUVEL-1A model and stored in a Bernese velocity file (extension VEL, in the STA directory of the campaign). PID 403 COOVEL: Station coordinates are propagated from the session’s epoch to the coordinate epoch of the reference frame file (2000-Jan-01 for IGS 00 R.CRD) using the velocities from the previous step. PID 411 CRDMERGE: The velocity field generated in PID 403 is merged into the velocity reference file defined in V CRDREF (e.g., IGS 00 R.VEL). The merged velocity field is stored in the file defined in V CRDMRG (e.g., IGS 00.VEL). It contains all reference station velocities, completed by the additional sites in this PPP solution. PID 421 CRDMERGE: The resulting coordinate file is merged into the coordinate reference file. It works analogous to PID 411. PID 431 ADDNEQ2: The merged coordinate and velocity files together with the normal equation file (generated in PID 322) are used to estimate geocenter translation parameters. A minimum constraint solution with translation conditions, only, is performed. The stations used for this datum definition are taken from the list of reference stations (extension FIX, filename according to BPE variable V CRDMRG). In this example these are the three IGS core sites: MATE, ONSA, VILL. For non-global networks this result is a quality check for the PPP and has no geophysical meaning. Further reading: Chapter 10: Station Coordinates and Velocities (page 211), Section 10.6.6: Computing Velocities from a Model (page 236), Section 10.6.7: Propagating Coordinates to Specific Epochs (page 237), Section 10.6.5: Merging Coordinate and Velocity Files (page 235), Section 9.3.9: Minimum Constraint Conditions (page 193), Section 15.4: Estimation of Earth Orientation and Geocenter Parameters (page 319), Section 19.5.3: Special Actions SKIP and NEXTJOB (page 392). Page 434 AIUB
20.4 Description of the Processing Examples 20.4.1.6 Generate Ionosphere Models and Derive Receiver DCB Values (if desired) This block allows to determine station specific and regional ionosphere models. The BPEvariable V F is used as switch, whether or not to perform these steps. # # Generate ionosphere models and derive receiver DCB values (if desired) # ---------------------------------------------------------------------- 501 PPP_ION PPP_ION ANY 1 321 502 PPPESTAP PPP_ION ANY 1 501 503 PPPEST_P PPP_ION ANY 1 502 504 GPSXTR PPP_ION ANY 1 503 511 ADDNEQ2 PPP_ION ANY 1 504 521 GPSEST PPP_RIM ANY 1 501 522 GPSXTR PPP_RIM ANY 1 521 PID 501 PPP ION: This script either initializes or skips the ionosphere estimation. If parameter V F is undefined, the scripts responsible for ionosphere estimation are skipped and PID 901 follows. PID 502 PPPESTAP: This is the preparatory script for the parallel run of GPSEST. PID 503 PPPEST P: In this GPSEST run, station specific ionosphere models are estimated and saved in Bernese ionosphere files (extension ION, in the ATM directory of the campaign). Receiver P1-P2 DCBs are also computed and stored in station specific files (extension DCB). In addition the normal equation files are saved for combination of the receiver specific DCBs (note that all other parameters are pre-eliminated prior to NEQ saving in this GPSEST run). PID 504 GPSXTR: GPSXTR creates a summary of the GPSEST output from the previous PID. A summary concerning global ionosphere maps is explicitly requested. The extracts are listed in the processing summary. PID 511 ADDNEQ2: ADDNEQ2 combines the contributions from the station specific processing in PID 503 to the P1-P2 receiver DCB’s. The DCB file additionally appears in the processing summary. PID 521 GPSEST: In this GPSEST run, a regional ionosphere model is generated and stored in a Bernese ionosphere file and in an IONEX file (extension INX). Again, DCBs are stored, and the file is included in the processing summary. PID 522 GPSXTR: An output summary of the previous GPSEST run is produced, which is included in the processing summary. Further reading: Chapter 12: Ionosphere Modeling and Estimation (page 253), Section 12.3.1.1: Ionosphere Mapping (page 260), Chapter 13: Differential Code Biases (page 279), Section 19.5.2: Parallel Processing (page 391), Section 19.5.3: Special Actions SKIP and NEXTJOB (page 392). Bernese GPS Software Version 5.0 Page 435
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Bernese GPS Software Version 5.0 Ed
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Bernese GPS Software Version 5.0 As
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Contents 2.3.6.1 Ionosphere-Free Li
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Contents 6.3.3 Kinematic Stations .
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Contents 9.4.4 Pre-Elimination Opti
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Contents 13.2 How to Correct P1-P2
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Contents 18.3.2 Command Bar . . . .
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Contents 20.4 Description of the Pr
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Contents 22.8.2 Station Abbreviatio
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Contents Page XVI AIUB
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List of Figures 5.1 Flow diagram of
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List of Figures 13.3 P1-C1 code bia
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List of Figures 22.20 Tabular orbit
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List of Tables 12.2 Influences of t
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1. Introduction and Overview • bu
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1. Introduction and Overview Table
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1. Introduction and Overview • Th
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1. Introduction and Overview The Be
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1. Introduction and Overview for Ca
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2. Fundamentals 2.1.1 GPS System De
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2. Fundamentals Table 2.2: Componen
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2. Fundamentals Clock correction [n
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2. Fundamentals Figure 2.5: GLONASS
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2. Fundamentals Table 2.6: GLONASS
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2. Fundamentals In contrast to the
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2. Fundamentals 2.2 GNSS Satellite
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2. Fundamentals 2.2.2.1 The Kepleri
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2. Fundamentals Table 2.9: Perturbi
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2. Fundamentals R.A. of Ascending N
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2. Fundamentals where aROCK is the
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2. Fundamentals By taking the deriv
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2. Fundamentals δi error of satell
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2. Fundamentals Ionospheric refract
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2. Fundamentals 2.3.6.1 Ionosphere-
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2. Fundamentals Table 2.10: Linear
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3. Campaign Setup variable to the f
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3. Campaign Setup Figure 3.1: Examp
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3. Campaign Setup In this section w
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3. Campaign Setup 3.5 Processing Ov
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4. Import and Export of External Fi
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5. Preparation of Earth Orientation
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6. Data Preprocessing Preprocessing
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6. Data Preprocessing (a) AS turned
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6. Data Preprocessing 6.2.4 Code Sm
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6. Data Preprocessing is set to 2.
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6. Data Preprocessing 6.3.2 Preproc
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6. Data Preprocessing RMS of kin. s
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6. Data Preprocessing The ambiguiti
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6. Data Preprocessing no loss of si
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6. Data Preprocessing This epoch-di
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6. Data Preprocessing (e.g., from C
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6. Data Preprocessing The second pa
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6. Data Preprocessing GAR small pie
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6. Data Preprocessing -------------
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6. Data Preprocessing automated pro
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6. Data Preprocessing 6.6.2 Generat
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6. Data Preprocessing 6.6.3 Detect
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6. Data Preprocessing (6) If the to
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6. Data Preprocessing Page 138 AIUB
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7. Parameter Estimation p u × 1 ve
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7. Parameter Estimation The two bas
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7. Parameter Estimation contains a
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7. Parameter Estimation The binary
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7. Parameter Estimation 7.5.2 Piece
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7. Parameter Estimation The equatio
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7. Parameter Estimation 7.5.4.4 Fix
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7. Parameter Estimation where Q 11
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7. Parameter Estimation consequence
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7. Parameter Estimation are address
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7. Parameter Estimation ... ! Pre-p
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7. Parameter Estimation The RINEX m
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7. Parameter Estimation In a succes
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7. Parameter Estimation Page 166 AI
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8. Initial Phase Ambiguities and Am
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9. Combination of Solutions 9.2 Seq
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9. Combination of Solutions Substit
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9. Combination of Solutions We may
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9. Combination of Solutions files a
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9. Combination of Solutions x x 1 t
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9. Combination of Solutions Both re
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9. Combination of Solutions 9.4 The
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9. Combination of Solutions 9.4.2 G
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9. Combination of Solutions Excepti
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9. Combination of Solutions As alre
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9. Combination of Solutions Table 9
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9. Combination of Solutions The poi
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9. Combination of Solutions (2) Tra
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9. Combination of Solutions Step 1:
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10. Station Coordinates and Velocit
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Page 220 AIUB Station coordinates a
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11. Troposphere Modeling and Estima
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12. Ionosphere Modeling and Estimat
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13. Differential Code Biases Promin
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13. Differential Code Biases Figure
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13. Differential Code Biases Figure
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13. Differential Code Biases ======
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13. Differential Code Biases Page 2
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14. Clock Estimation τ (BRUS-PTBB)
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14. Clock Estimation Here the limit
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14. Clock Estimation to zero. All c
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14. Clock Estimation #OBS : Number
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14. Clock Estimation 14.3 Clock RIN
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14. Clock Estimation cessed if CCRN
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14. Clock Estimation RINEX files th
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14. Clock Estimation the clock valu
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14. Clock Estimation SINGLE POINT P
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14. Clock Estimation Page 308 AIUB
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15. Estimation of Satellite Orbits
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16. Antenna Phase Center Offsets an
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17. Data Simulation Tool GPSSIM 17.
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17. Data Simulation Tool GPSSIM The
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17. Data Simulation Tool GPSSIM The
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17. Data Simulation Tool GPSSIM Res
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18. The Menu System 18.2 Starting t
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18. The Menu System 18.3.1 Menu Bar
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18. The Menu System 18.3.5 Panel Co
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18. The Menu System the menu the ne
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18. The Menu System Table 18.1: Pre
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18. The Menu System 18.5.3 System E
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18. The Menu System 18.7 Change Opt
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18. The Menu System 18.9 Technical
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18. The Menu System ... ! Environme
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18. The Menu System The keyword ENV
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18. The Menu System ! List of Remai
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18. The Menu System The MENUAUX-mec
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18. The Menu System Keyword values
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19. Bernese Processing Engine (BPE)
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Page 494 and 495: 21. Program Structure $C / %C% PGM
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Page 504 and 505: 22. Data Structure "Program" Area $
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Page 484 AIUB ANTENNA PHASE CENTER
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22. Data Structure 22.4.5 Satellite
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22. Data Structure 22.4.6 Satellite
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22. Data Structure DIFFERENCE OF GP
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22. Data Structure 22.4.9 Subdaily
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22. Data Structure EGM96 EGM96, VER
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22. Data Structure SINEX : OPTION I
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22. Data Structure 22.4.16 Panel Up
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22. Data Structure 22.6.2 Header an
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22. Data Structure 15 Antenna type(
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22. Data Structure SVN-NUMBER= 2 ME
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22. Data Structure -1 2 1 5 TITLE :
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22. Data Structure Used by: ORBGEN
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22. Data Structure 53064.00 53065.0
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22. Data Structure CODE’S MONTHLY
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22. Data Structure Table 22.4: Stat
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22. Data Structure (3) TYPE 003: HA
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22. Data Structure 22.8.4 Station P
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22. Data Structure Remarks: • Eac
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22. Data Structure The following st
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22. Data Structure Table 22.7: List
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22. Data Structure AJAC $$ FES2004
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22. Data Structure Station sigma fi
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22. Data Structure GOPE 11502M002 Z
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22. Data Structure 22.8.18 Receiver
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22. Data Structure CODE RAPID 3-DAY
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22. Data Structure 22.9.3 Meteo and
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22. Data Structure IONOSPHERE MODEL
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22. Data Structure 22.10 Miscellane
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22. Data Structure 22.10.4 Variance
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22. Data Structure 22.10.5 Normal E
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22. Data Structure 22.10.7 Observat
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22. Data Structure Created by: Each
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22. Data Structure ----------------
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22. Data Structure 22.10.17 BPE log
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23. Installation Guide 23.1.2 Conte
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23. Installation Guide 23.1.3.2 Ins
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23. Installation Guide BERN50 : $C
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23. Installation Guide If you have
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23. Installation Guide To make the
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23. Installation Guide List of Inst
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23. Installation Guide 23.2.4 Confi
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23. Installation Guide Configure me
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23. Installation Guide ${P}/EXAMPLE
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23. Installation Guide To recompile
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23. Installation Guide Page 574 AIU
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24. The Step from Version 4.2 to Ve
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BIBLIOGRAPHY Bock, H. (2004), Effic
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BIBLIOGRAPHY Janes, H. W., R. B. La
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BIBLIOGRAPHY Schaer, S. (1998), COD
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BIBLIOGRAPHY Page 588 AIUB
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INDEX OF PROGRAMS NEQ2ASC, 207, 541
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Index of Program Panels CODSPP 2: I
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Index of Program Panels MKCLUS 3: R
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INDEX OF KEYWORDS Antenna verificat
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INDEX OF KEYWORDS Cluster definitio
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INDEX OF KEYWORDS variance-covarian
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INDEX OF KEYWORDS orbit products, 1
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INDEX OF KEYWORDS Multi-session sol
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INDEX OF KEYWORDS Orbital elements
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INDEX OF KEYWORDS Receiver antenna
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INDEX OF KEYWORDS orbit modeling, 9
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INDEX OF KEYWORDS WGS-84, 19, 88, 2
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