Bernese GPS Software Version 5.0 - Bernese GNSS Software

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2. Fundamentals R.A. of Ascending Node [deg] 114.62 114.60 114.58 114.56 114.54 114.52 114.50 114.48 338 338.5 339 339.5 340 340.5 341 Doy in 2003 Figure 2.12: Osculating r. a. of ascending node of PRN 25 during three days of year 2003. Argument of Perigee [deg] -94.2 -94.3 -94.4 -94.5 -94.6 -94.7 -94.8 -94.9 -95.0 338 338.5 339 339.5 340 340.5 341 Doy in 2003 Figure 2.13: Osculating argument of perigee of PRN 25 during three days of year 2003. Semimajor axis [km] - 26560 km 2.5 2.0 1.5 1.0 0.5 0.0 -0.5 -1.0 -1.5 1995 1996 1997 1998 1999 2000 2001 2002 2003 Year Figure 2.14: Mean semimajor axis of PRN 25 over nine years. Page 30 AIUB
2.2.2.3 Deterministic Orbit Parameterization 2.2 GNSS Satellite Orbits The force model used within the Bernese GPS Software Version 5.0 includes the Earth’s potential up to a selectable degree and order, the gravitational attractions of Sun and Moon as well as of the planets Jupiter, Venus, and Mars, the elastic Earth tidal corrections according to IERS 1996 conventions [McCarthy, 1996], pole tide, ocean tides, and general relativistic corrections (see Section 5.4). Solar radiation pressure is applied according to the model described in this section, including satellites specific empirical force terms. When determining or characterizing the orbit of a satellite, we first have to specify six parameters defining the position and the velocity vectors at the initial epoch t0 of the arc. One might use the Cartesian components of the vectors r0 = r(t0) and v0 = v(t0) for that purpose. In the Bernese GPS Software, we use the osculating elements of the initial epoch t0 to define the initial conditions: a0 = a(t0), e0 = e(t0), i0 = i(t0), Ω0 = Ω(t0), ω0 = ω(t0), and u00 = u0(t0). Each orbit (or, to be even more precise, each arc) is a solution of the equations of motion (2.8). Many parameters have to be known to solve these equations of motion: Most of the force field constituents of Table 2.9 are characterized by many parameters (think of the parameters necessary for the Earth’s gravity potential). So, in principle, each orbit is characterized by six osculating elements and by the set of all model parameters. Most of these dynamical parameters are known with sufficient accuracy from other analyses (SLR in particular) and it is neither necessary nor possible (in most cases) to improve or solve for these parameters in GNSS analyses. Of course, each orbit determination center has to tell what orbit models it actually uses and what numerical values are adopted for the parameters. Within the IGS this is done through so-called Analysis Center Questionnaires. The questionnaire for the CODE Analysis Center is accessible at ftp://ftp.igs.org/pub/ center/analysis/code.acn or at ftp://ftp.unibe.ch/aiub/CODE/CODE.ACN. As mentioned previously the parameters p0,p1,... given explicitly in Eqn. (2.8) are those dynamical parameters which – in general – have to be estimated for each arc and each satellite individually in order to obtain a reliable orbital fit. If we assume that there are np such dynamical parameters, we may state that the orbit or arc is parameterized by n = 6 + np parameters. If these parameters are known and if one and the same model is used for the known part of the force field, everybody should be able to reconstruct one and the same trajectory r(t) of the satellite using numerical integration starting from time t0 (see Section 2.2.3). In this sense our n = 6+np orbit parameters uniquely specify a satellite orbit. What are the dynamical parameters used in the Bernese GPS Software Version 5.0 ? Let us first state that formally we attribute these parameters to radiation pressure (but we have to admit that other effects may be absorbed by them, as well). According to [Beutler et al., 1994] we write the radiation pressure model (the CODE extended radiation pressure model) in the following way: arpr = aROCK + aD + aY + aX (2.9) Bernese GPS Software Version 5.0 Page 31
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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
Page 8 and 9: Contents 6.3.3 Kinematic Stations .
Page 10 and 11: Contents 9.4.4 Pre-Elimination Opti
Page 12 and 13: Contents 13.2 How to Correct P1-P2
Page 14 and 15: Contents 18.3.2 Command Bar . . . .
Page 16 and 17: Contents 20.4 Description of the Pr
Page 18 and 19: Contents 22.8.2 Station Abbreviatio
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Page 22 and 23: List of Figures 5.1 Flow diagram of
Page 24 and 25: List of Figures 13.3 P1-C1 code bia
Page 26 and 27: List of Figures 22.20 Tabular orbit
Page 28 and 29: List of Tables 12.2 Influences of t
Page 30 and 31: 1. Introduction and Overview • bu
Page 32 and 33: 1. Introduction and Overview Table
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Page 38 and 39: 1. Introduction and Overview for Ca
Page 40 and 41: 2. Fundamentals 2.1.1 GPS System De
Page 42 and 43: 2. Fundamentals Table 2.2: Componen
Page 44 and 45: 2. Fundamentals Clock correction [n
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Page 54 and 55: 2. Fundamentals 2.2.2.1 The Kepleri
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4. Import and Export of External Fi
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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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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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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 20.4.1.4 Co
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20. Processing Examples 20.4.1.5 Ta
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20. Processing Examples 20.4.1.7 Cr
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20. Processing Examples 20.4.2.1 Co
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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 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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