Bernese GPS Software Version 5.0 - Bernese GNSS Software

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13. Differential Code Biases Figure 13.4: P1–C1 code bias information for GPSEST. Last but not least, the importance of the receiver information file has to be emphasized: ${X}/GEN/RECEIVER. is used by the program GPSEST to decide which receiver class a specific receiver is belonging to. A corresponding receiver information file is maintained at CODE and regularly posted to http://www.aiub.unibe.ch/download/BSWUSER50/GEN/ RECEIVER.. This file should contain the names of all relevant receivers employed within the IGS (and EUREF) receiver network. 13.2.2 Correcting P1–C1 Code Biases on RINEX Level Within IGS, it is common to use cc2noncc to convert “CC” data (obtained from C1/X2 or C1/P2 receivers) into “non-CC” data (conform to P1/P2 data). cc2noncc is an easy-to-use tool (developed by Jim Ray) that applies corrections due to GPS P1–C1 code biases directly to RINEX observation files. The interested reader is referred to https://goby.nrl.navy. mil/IGStime/index.php#P1-C1/ and [Ray, 2000, 2001]. For users of the Bernese GPS Software, consideration of the RINEX utility program cc2noncc does not make sense since P1–C1 corrections are comfortably handled by GPSEST. Page 284 AIUB
13.3 Determination of GNSS Code Biases 13.3.1 P1–P2 Code Biases 13.3 Determination of GNSS Code Biases Based on Table 13.1, one may draw the conclusion that the geometry-free (L4) linear combination is the most appropriate linear combination for accurate P1–P2 code bias retrieval. P1–P2 DCB values are computed while solving for ionosphere parameters (see also Chapter 12). Remark: It should be clear that BC1−P2 (not BP1−P2) will result as receiver bias in case of C1/P2 receiver models. Note: Extraction of GPS τGD values is possible using RXNBV3. τGD values are exported as BP1−P2 values in form of a DCB file. 13.3.2 P1–C1 Code Biases It is obvious that differences between pairs of simultaneous P1 and C1 code measurements— as provided by the first (P1/P2) receiver class—may be analyzed to retrieve inter-satellite P1–C1 code bias values, BP1−C1. As a matter of fact, this is the method commonly used by people doing P1-C1 bias retrieval (see, e.g., [Gao et al., 2001; Jefferson et al., 2001]). The necessity for accounting in addition to satellite also for receiver bias values may be easily understood in view of this straightforward method. Note that this method is not supported by the Bernese GPS Software Version 5.0 . At CODE, we use a fundamentally different, more sophisticated approach. Our method works on the basis of the ionosphere-free (L3) linear combination in the course of a global GNSS clock analysis. We solve for (satellite-specific) BP1−C1 parameters together with the epoch parameters responding to satellite and receiver clock offsets [Schaer, 2000]. The partial derivatives with respect to these satellite DCB parameters are exactly those factors as they may be gathered from from the L3 row of Table 13.1: 0, or undefined for P1/P2, −1 for C1/X2, and −2.55 for C1/P2. Obviously, a “mixed” receiver network is indispensable for our method. The main advantage of our approach is that resulting P1–C1 DCB estimates directly reflect the code bias differences between the three receiver classes as seen by an analysis center in its clock estimation procedure. In other words, the bias values are estimated directly from the data sets for which they will be applied. We do not make use of C1 code measurements from P1/P2 receivers (providing C1/P1/P2). 13.3.3 Verification of the Receiver Tracking Technology A special application of the P1–C1 bias parameter estimation is the possibility to verify which of the three receiver classes a particular receiver model may be attributed to. The principle is relatively simple: instead of solving for BP1−C1 parameters, these parameters are assumed to be known (see also Figure 13.4) and one common factor is set up as unknown parameter (called “P1–C1 DCB multiplier”) for each single receiver. Figure 13.5 shows an excerpt of a corresponding GPSEST output file. A factor close to 0 indicates a P1/P2 receiver, a factor around 1 a C1/X2 receiver, and, with an expected factor of 2.55, identification of C1/P2 is utmost reliable [Schaer, 2002]. Bernese GPS Software Version 5.0 Page 285
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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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Page 262 and 263: 10. Station Coordinates and Velocit
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Page 338 and 339: 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 20.4.1.5 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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