Bernese GPS Software Version 5.0 - Bernese GNSS Software

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Page 220 AIUB Station coordinates and velocities: ---------------------------------- Reference epoch: 2003-06-04 12:00:00 Station name Typ A priori value Estimated value Correction RMS error 3-D ellipsoid 2-D ellipse -------------------------------------------------------------------------------------------------------------------------------- WTZR 14201M010 X 4075580.5869 4075580.5863 -0.0006 0.0001 Y 931853.7712 931853.7697 -0.0015 0.0000 Z 4801568.1150 4801568.1101 -0.0049 0.0001 U 666.0300 666.0257 -0.0043 0.0001 0.0001 1.8 N 49 8 39.113349 49 8 39.113267 -0.0025 0.0000 0.0000 79.7 0.0000 78.8 E 12 52 44.073514 12 52 44.073448 -0.0013 0.0000 0.0000 1.3 0.0000 WTZR 14201M010 VX -0.0151 -0.0168 -0.0017 0.0001 VY 0.0174 0.0175 0.0001 0.0000 VZ 0.0097 0.0076 -0.0021 0.0001 VU 0.0002 -0.0024 -0.0027 0.0002 0.0002 1.4 VN 0.0145 0.0144 -0.0002 0.0000 0.0000 81.6 0.0000 81.0 VE 0.0203 0.0208 0.0005 0.0000 0.0000 -0.9 0.0000 ZIMM 14001M004 X 4331297.0886 4331297.0894 0.0008 0.0001 Y 567555.8511 567555.8495 -0.0016 0.0000 Z 4633133.9043 4633133.9028 -0.0016 0.0001 U 956.3242 956.3235 -0.0007 0.0002 0.0002 0.8 N 46 52 37.549915 46 52 37.549865 -0.0015 0.0000 0.0000 84.3 0.0000 84.3 E 7 27 54.995026 7 27 54.994944 -0.0017 0.0000 0.0000 -0.1 0.0000 ZIMM 14001M004 VX -0.0138 -0.0138 -0.0000 0.0002 VY 0.0185 0.0189 0.0004 0.0000 VZ 0.0100 0.0097 -0.0003 0.0002 VU -0.0004 -0.0006 -0.0002 0.0002 0.0002 0.7 VN 0.0151 0.0149 -0.0002 0.0001 0.0000 85.4 0.0000 85.5 VE 0.0201 0.0206 0.0004 0.0000 0.0001 0.2 0.0001 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Figure 10.2: Coordinate/velocity related part of ADDNEQ2 output. 10. Station Coordinates and Velocities
10.3 Coordinate and Velocity Estimation in Practice Column (7): Lengths of the principal axes of the 3-dimensional error ellipsoid (in meters). Column (8): Orientation of the error ellipsoid: zenith distance of the longest axis, azimuth (counted positive in East) and elevation angle of the second axis (in degrees) Column (9): Lengths of the principal axis of the 2-dimensional error ellipse in the horizontal plane (in meters). Column (10): Orientation of the error ellipse: azimuth of the principal axis counted positive in East (in meters). Please note that the internal representation of coordinates and velocities is always cartesian. Where needed, they are transformed to a geographical system based on the local geodetic datum defined in the respective a priori coordinate or velocity input file. The estimated coordinates and velocities can be stored in corresponding result files. They are flagged according to the applied constraints (see Section 22.8.5). Stations not appearing in the current session are directly inherited from the a priori input files (but without flags). Consequently, the resulting files contain all stations from the a priori files, no matter if actually processed or not. In addition, ADDNEQ2 can write coordinate and velocity results in SINEX format. Both programs, GPSEST and ADDNEQ2, can store the covariance information of coordinate parameters. 10.3.2 Static Network Solution A static network solution is the most common case of coordinate estimation. It is usually based on double-differenced phase observations with orbit and Earth-orientation information introduced from an external source, such as the IGS or CODE. In a static solution one set of coordinates is estimated for the entire session for each station. This is, of course, only valid if station velocities can be neglected for the processed time interval which is usually fulfilled for ground mounted tracking stations. The geodetic datum of the network must be defined based on some reference sites with well known coordinates, especially for non-global networks. To ensure consistency with the orbits and Earth orientation parameters, it is recommended to include some nearby stations from the global IGS network as reference sites. The precise IGS coordinates and velocities for these stations may then be used for datum definition purposes. A no-net-translation condition or tight constraints on the single reference stations are well-suited for a final coordinate solution. Of course it is advisable to check the performance of the fiducial sites and – if necessary – to remove problematic stations from the list of reference sites. One possible approach is demonstrated in theRNX2SNX processing example (sequence PID 511–514, see Section 20.4.2) utilizing program HELMR1. 10.3.3 Multi-Session Solution Normal equation systems from subsequent sessions can be combined in a multi-session solution with ADDNEQ2. All coordinate parameters belonging to the same station (identified by the station name) are combined to one single set of coordinates. The resulting coordinates Bernese GPS Software Version 5.0 Page 221
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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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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 ! -----------
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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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