Bernese GPS Software Version 5.0 - Bernese GNSS Software

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15. Estimation of Satellite Orbits and Earth Orientation Parameters Subsequently you may select the number n of polynomial coefficients for each of the five Earth orientation parameters in the fields “Par/set”. The polynomial degree q is simply q = n − 1. n = 0 means that the corresponding parameters are not set up. You have to be aware of the fact that your estimates will in general not be continuous at the sub-interval boundaries. You may ask for continuity for the pole components xp, yp, and for UT1-UTC by specifying “ERP” in the field “Continuity between sets”. If you want to enforce continuity for the two nutation parameters you specify “NUT”, and you specify “BOTH” if you want to have continuity for all parameters. Attention: If you ask for continuity in the case q = 0 (n = 1), this actually means that you model the Earth orientation parameters by a single parameter for the entire session! If you ask for continuity in the case q = 1 (n = 2), you actually model the Earth orientation parameters as polygons (standard procedure at CODE). We strongly recommend to use q = 1 (n = 2) and to ask for continuity. Only Earth orientation parameter values represented by offsets and drifts (n = 2) can be properly handled by program ADDNEQ2. You may constrain the first-degree polynomial coefficients of the Earth rotation paramter, the nutation, or both parameter sets to zero by activating the option “Drifts constrained to zero”. This makes sense if you intend to estimate drift parameters later with program ADDNEQ2 using more than one session. The zero-degree coefficients of each parameter set may be constrained independently for each of the five Earth orientation parameter types by specifying an a priori sigma in the fields “Other parameters”. Because, as mentioned above, it is not possible to solve for all orbit parameters and for UT1-UTC or nutation parameters, the zero-degree parameters pertaining to the first sub-intervals can be constrained separately for these parameters with a priori sigma values in the fields “First parameter”. If you define the Earth orientation parameters according to the panel displayed in Figure 15.5, GPSEST will generate a section in the program output of the following type: EARTH ROTATION PARAMETERS: ------------------------- CRD. REQ. (") RMS (")/DAY RMS (")/DAY**2 (S) (DT) RMS (S)/DAY RMS (S)/DAY**2 --------------------------------------------------------------------- X 1 0.0010080 0.0000900 -0.0007370 0.0001536 Y 1 0.0017345 0.0001013 -0.0013315 0.0001621 DT 1 0.0000000 0.0000000 -0.0002006 0.0000064 The spacing in time of the Earth orientation parameter values saved in the output Bernese pole file and the IERS pole file may be specified in option “TIME RESOLUTION OF EX- TRACTED VALUES”, independently of the parameter spacing used. 15.4.3.2 Options in ADDNEQ2 With program ADDNEQ2 you may combine normal equation systems generated by GPSEST (or ADDNEQ2). The program allows you to reconsider some aspects of Earth orientation parameter estimation. Earth orientation parameters estimated by GPSEST are parameterized as polynomials within sub-intervals while ADDNEQ2 uses a piece-wise linear parameterization. ADDNEQ2 automatically converts Earth orientation parameters represented as offset Page 322 AIUB
15.4 Estimation of Earth Orientation and Geocenter Parameters Figure 15.5: Options for defining the setup for Earth orientation parameters in GPSEST. and drift (polynomial of first degree) into the piece-wise linear representation if an interval length is specified in the section “Parameter spacing” in panel “ADDNEQ2 8: Interval Length of Parameters” (see Section 9.4.5) which is strongly recommended. You may specify the same or a longer interval (e.g., 24 00 00) than the one you originally defined in GPSEST when setting up Earth orientation parameters. The panel is activated if option “Change parameter spacing” in panel “ADDNEQ2 3.1: Options 1” is enabled. Enable the checkbox “Earth orientation parameters” in panel “ADDNEQ2 3.2: Options 2” in order to get the Earth orientation parameter-specific panel “ADDNEQ2 11: Options for Earth Orientation Parameters” (see Figure 15.6). The options in this panel resemble those in program GPSEST: You may define a priori constraints for the first offset parameters for UT1-UTC and the nutation parameters as well as for all remaining offset parameters for all parameter types. The option “Block retrograde terms in X and Y polar wobble series” is only of importance if you are interested in a sub-daily resolution of the Earth orientation parameters in order to cope with correlations of daily retrograde motion of the pole with the orientation of the satellite’s orbital planes [Hefty et al., 2000]. There is one more important difference between the Earth orientation parameters estimation in GPSEST and ADDNEQ2: Whereas in GPSEST the corrections to the a priori pole are modeled as polynomials, the absolute values and UT1R (obtained from UT1 by removing the tidal variations with periods < 35 days) are represented as piece-wise linear functions in ADDNEQ2. Bernese GPS Software Version 5.0 Page 323
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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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11. Troposphere Modeling and Estima
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12. Ionosphere Modeling and Estimat
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Page 338 and 339: 15. Estimation of Satellite Orbits
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Page 384 and 385: 18. The Menu System 18.2 Starting t
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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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20. Processing Examples inspect the
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20. Processing Examples 20.3.1 How
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20. Processing Examples • (option
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20. Processing Examples PID 111 PRE
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20. Processing Examples 20.4.1.5 Ta
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20. Processing Examples appears in
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20. Processing Examples PID 313 MPR
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20. Processing Examples Further rea
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20. Processing Examples # # Create
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20. Processing Examples PID 101 GPS
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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 ! -----------
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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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