Bernese GPS Software Version 5.0 - Bernese GNSS Software

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19. Bernese Processing Engine (BPE) benefit from this redundancy. In the panel “MKCLUS 3: Regional Cluster Definition Options (Zero Differences)” the program MKCLUS provides the possibility either to define the maximum number of observation files in a cluster or the number of clusters. The distance between the stations in a cluster is minimized. If the satellite clocks are estimated in a regional cluster there are always satellites that are observed by one station only. The residuals for those observations will be zero but this tells nothing about the quality of the observations itself. For the screening of the post-fit residuals of all observations a “Minimum number of observations per satellite at each epoch” may be defined with a value bigger than 1. As a consequence a number of observation files will be assigned to more than one cluster. 19.12.2.3 Global Clusters for the Zero-Difference Processing The main application of processing zero-difference observations files in global clusters is the computation of receiver and satellite clocks. One global solution created in a single run of the program GPSEST is of course the best way for clock estimation because all correlations can be considered. In order to include more stations into the solution the zero-difference observation files may be divided into a number of global clusters that are processed independently with program GPSEST. In each global cluster solution a different set of stations is used to estimate the satellite clocks. The program CCRNXC can be used to combine the clock corrections from the individual cluster solutions to a consistent global solution. The program MKCLUS provides several options to generate global clusters from a list of zero-difference observation files. The “Number of clusters” and the “Maximum number of stations per cluster” can be specified by the user in panel “MKCLUS 3: Global Cluster Definition Options (Zero Differences)”. If more observation files are specified a selection of stations that are used in the global clusters for processing is possible. The criteria are described above. In addition a minimum number of observations to each satellite can be requested in option the “OBSERVATION REDUNDANCY” to achieve a reliable satellite clock estimation. 19.12.3 Rejecting Stations from the Definition of the Geodetic Datum In an automatic processing it might be important to automatically reject reference stations from the definition of the geodetic datum if a significant difference is found between estimated and a priori coordinates. Examples are bad tracking data, unannounced antenna change, or shift of the station due to an earthquake. Such outliers may be detected by comparing coordinates of reference sites obtained with a no-net translation condition with the a priori coordinates using program HELMR1 (see Section 10.6.2). The program can be used to identify outliers and to write a new station selection file containing only those stations that passed the outlier criterion. If reference stations are identified as outliers the datum definition for the final solution has to be repeated with the modified station selection list by jumping back to the appropriate position in the processing sequence. The jump can be triggered by the existence of an outlier list that may be written by program HELMR1. This quality monitoring feature is demonstrated in the BPE example RNX2SNX delivered with the software, see Section 20.4.2. Page 422 AIUB
20. Processing Examples 20.1 Introduction The distribution of the Bernese GPS Software contains processing examples using the Bernese Processing Engine (BPE), consisting of data, user scripts and four process control files (PCF). The BPE allows to automatically process data following a scheme laid out in the PCF. The purpose of these examples is to verify the installation, and to demonstrate how to solve standard processing tasks with the Bernese GPS Software. Looking through the examples, you will find many hints and ideas on how to solve specific problems with the BPE. This chapter first describes the dataset of the example campaign, informs how to run the example PCFs for verification of the software installation, and describes the PCFs for the four standard applications: • precise-point positioning (PPP.PCF). This PCF serves to generate a priori information for further processing, • double-difference processing (RNX2SNX.PCF). This is the default procedure for most cases (coordinate or troposphere results), • baseline test (BASTST.PCF). This is an example of a straightforward PCF for baseline-wise processing (e.g., ambiguity resolution), • zero-difference processing example (CLKDET.PCF). It may be used for clock estimation. At the end, we describe how to process your own data with the PCFs provided. Thus, the furnished examples open the gates to highly sophisticated, state of the art GPS data processing using one of the most powerful software packages. The examples are ready to run. All necessary files, including program option files, are provided, with the exception of the JPL DE200 ephemeris needed for the orbit integration by ORBGEN. Please follow the instructions in the ${X}/DOC/DE200.readme file in order to create this file. Each example PCF contains a general description and comments in its header, that can be read by opening the file in a text editor. The PCFs are located in ${U}/PCF. While going through the detailed description of the PCFs in this chapter, it is recommended to Bernese GPS Software Version 5.0 Page 423
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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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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 6.3.2 Preproc
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6. Data Preprocessing RMS of kin. s
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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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7. Parameter Estimation p u × 1 ve
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7. Parameter Estimation The two bas
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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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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 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 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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10. Station Coordinates and Velocit
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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 ======
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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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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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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 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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Page 494 and 495: 21. Program Structure $C / %C% PGM
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21. Program Structure ! -----------
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22. Data Structure "Program" Area $
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22. Data Structure Table 22.1: List
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22. Data Structure 22.4.2 Geodetic
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22. Data Structure 22.4.4 Antenna P
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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 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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