Bernese GPS Software Version 5.0 - Bernese GNSS Software

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19. Bernese Processing Engine (BPE) 37: unlink $lstFil if $startcount == 1; 38: 39: # Run program 40: # ----------- 41: my $PGMNAM = "HELMR1"; 42: $bpe->RUN_PGMS($PGMNAM); 43: 44: # Check whether datum definition accepted or not 45: # ---------------------------------------------- 46: if (-s $lstFil and $startcount == 1) { 47: prtMess($bpe,"Inconsistent fiducial station(s) detected"); 48: prtGoto($bpe,$param2); 49: } 50: 51: } The program HELMR1 is started in lines 41–42. A useful method is called on line 31: $bpe–>getKeys takes a list of keywords and assigns their values to user script variables (see Section 19.6.5.1). Any variable that is available in the menu may be obtained in this way. In lines 47 and 48 two BPE utility functions are called (see Section 19.6.5.4). The corresponding module is loaded in lines 21–22. The first function writes a message into the BPE protocol file and the second function initiates a jump of the BPE processing sequence with the action NEXTJOB to the PID specified by PARAM2. 19.6.4 Parallel User Scripts The examples in this section show a master and slave user script for parallel processing of individual files. In the first example the relevant lines of the script GPSQIFAP are shown that prepares the baseline-wise processing of GPSEST for ambiguity resolution: 01: my ( $dirPSH, $extPSH, $sess, ) = 02: $bpe->getKeys(’DIR_PSH’,’EXT_PSH’,’$S+0’ ); 03: ... 04: 05: # Get the list of files to be processed 06: # ------------------------------------- 07: my @pshLst = glob("${dirPSH}????${sess}.${extPSH}"); 08: 09: # Put the files in the parallelization file 10: # ----------------------------------------- 11: open(TMP," > $$bpe{CONTROL_FILE}"); 12: foreach my $file (@pshLst) { 13: $file = File::Basename::basename($file}); # remove the path 14: $file = substr($file,0,4); # get the baseline ID 15: print TMP "$file\n"; 16: } 17: close TMP; In line 7 the script gets the list of all phase baseline files for the current session in the campaign directory. In line 11 the control file is opened whose name is available through the variable $$bpe{CONTROL FILE}. In the loop 12–16 the first four characters of each filename are written as separate lines into the control file. After termination of the script the control file contains the following lines based on the files available in the BPE processing example: 01: BRFF 02: BRON Page 400 AIUB
03: BRZM 04: FFMA 05: FFZI 06: PTZM 07: VIZM 19.6 User Scripts It is sent to the BPE server to initialize seven parallel runs of the slave script. Each parallel running slave script gets one line of the control file through the variable $$bpe{CONTROL FILE LINE}. That means the first script gets the baseline abbreviationBRFF as the first (and in our example only) element of the CONTROL FILE LINE that is assigned to the parameter $$bpe{PARAM1}: 01: # Set an user variable to the baseline ID 02: # --------------------------------------- 03: my $tmp = $ENV{U}/WORK/var.tmp 04: 05: open (TMP,"> $tmp"); 06: print TMP "\"FFFF\" \"$$bpe{PARAM1}\"\n"; 07: close TMP; 08: 09: $bpe->putKey("$ENV{U}/PAN/MENU_VAR.INP","USERVAR", 10: "SELECTED","PREPEND",$tmp); 11: 12: unlink($tmp); 13: 14: # Run program 15: # ----------- 16: my $PGMNAM = "GPSEST"; 17: $bpe->RUN_PGMS($PGMNAM); In line 6 this script writes the string "FFFF" "BRFF" to a temporary file. This file is then used to define a menu user variable with name $(FFFF) and value BRFF by prepending it to the list of menu user variables in panel “Variables Available in the Menu for Interactive and Automatic Processing 1” (see Section 18.5.2) using the $bpe–>putKey command (lines 9 and 10). In program panels the baseline abbreviation is thus available through the variable $(FFFF). That means in the panel “GPSEST 1.1: Input Files 1” in the script’s option directory (see Section 19.7) the name of the phase file to be processed may be specified with the string $(FFFF)$S+0 which is independent on the particular baseline. In a similar way the master script could group files to clusters. For each cluster it may write the individual filenames to a selection file (e.g., with name yydddnnn.BPE in the campaign’s BPE directory with nnn being the cluster number). The name of these cluster-specific files are written as separate lines to the control file (Note that ${P} will be replaced by the path to the campaign in practice): Control file contains: Cluster file ${P}/EXAMPLE/BPE/02143001.BPE: 01: ${P}/EXAMPLE/BPE/02143001.BPE 01: ${P}/EXAMPLE/OBS/BRFF1430.PSH 02: ${P}/EXAMPLE/BPE/02143002.BPE 02: ${P}/EXAMPLE/OBS/BRON1430.PSH 03: ${P}/EXAMPLE/OBS/BRZM1430.PSH 04: ${P}/EXAMPLE/OBS/FFMA1430.PSH Cluster file ${P}/EXAMPLE/BPE/02143002.BPE: 01: ${P}/EXAMPLE/OBS/FFZI1430.PSH 02: ${P}/EXAMPLE/OBS/PTZM1430.PSH 03: ${P}/EXAMPLE/OBS/VIZM1430.PSH Bernese GPS Software Version 5.0 Page 401
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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 result in lar
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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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20. Processing Examples The RINEX n
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20. Processing Examples # # Preproc
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20. Processing Examples the loop, d
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20. Processing Examples PID 903 CLK
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20. Processing Examples and IGS 00B
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20. Processing Examples • Save th
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20. Processing Examples PID 321 GPS
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20. Processing Examples PID 301 CLK
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21. Program Structure $C / %C% PGM
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21. Program Structure (program GPSE
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21. Program Structure continued fro
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21. Program Structure continued fro
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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 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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