Bernese GPS Software Version 5.0 - Bernese GNSS Software

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15. Estimation of Satellite Orbits and Earth Orientation Parameters Figure 15.1: Options for defining the setup of orbital parameters in GPSEST. Orbit parameter estimation is enabled by marking the checkbox “GNSS or LEO orbit determination” in panel “GPSEST 5.2: Setup of Parameters and Pre-Elimination 2” (the option gets active if a radiation pressure input file is specified). A subsequent panel is then activated that is specific for the setup of orbit parameters. In the first panel “GPSEST 6.8.1: GNSS Orbit Determination 1” (see Figure 15.1) you may specify whether you want to estimate orbit parameters for GPS only, for GLONASS only, or for all satellite systems (“SATELLITE SYSTEM SELECTION”). The option has to be set to ALL for LEOs. In the same panel you can setup each individual osculating element (section “SETUP OF ORBITAL ELEMENTS”) and dynamical parameter (radiation pressure parameters, section “SETUP OF DYNAMICAL PARAMETERS”) and a corresponding a priori constraint. In order to preserve all options for future runs with program ADDNEQ2 we recommend that you set up all (osculating and dynamical) orbit parameters but that you tightly constrain parameters that you want to fix for a particular experiment. You are then able to change the constraining in runs based on normal equations. In our analysis at CODE we freely estimate all parameters but constrain for GNSS satellites the periodic dynamic parameters in the directions D and Y because correlations with Earth orientation parameters would otherwise affect the estimates of length of day (see settings in Figure 15.1). The option “ESTIMATION OF STOCHASTIC PULSES” activates the panel “GPSEST 6.8.2: GNSS Orbit Determination 2” (see Figure 15.2) that allows for a detailed setup of pseudo-stochastic parameters (velocity changes at pre-defined epochs in three orthogonal directions). Page 314 AIUB
15.3 Orbit Improvement Figure 15.2: Options for defining the setup of stochastic orbit parameters in GPSEST. The number of equally spaced epochs per satellite and per day for which stochastic parameters shall be set up may be specified in option “Number of parameter sets per day”. If you enter, e.g., 2, parameter sets would in principle be set up at 00 UT, 12 UT, 24 UT, etc. The parameters at the beginning and end of the arc are, however, not set up. For a 1-day arc, therefore, only the pulses at noon are estimated. Pulses at the day boundaries may later be set up in ADDNEQ2 if you want to combine 1-day arcs into n-day arcs (Section 15.3.2). For GNSS satellites we recommend to set up two sets of stochastic parameters per day. For LEOs more pseudo-stochastic parameters may be set up, e.g., every 15 min (96 parameter sets per day). Note that stochastic pulse epochs have to coincide with an integration interval boundary in ORBGEN. This approach compensates the fact that the orbit models implemented in ORBGEN are optimized for GNSS satellites. However, SLR observations do not allow the estimation of such a high number of pseudo-stochastic parameters because of the low number of measurements compared to the GNSS technology. In consequence, orbit improvement based on SLR data is only possible for GNSS satellites or LEOs if their orbit can be sufficiently modelled (e.g., LAGEOS). Section “SETUP OF STOCHASTIC PULSES” in the panel allows to specify the direction for which pseudo-stochastic pulses shall be set up as well as their default a priori constraint (with respect to zero). In the example displayed in Figure 15.2 pulses are set up in radial, along-track, and in out-of-plane directions. To cope with correlations with Earth rotation parameters the out-of-plane direction is actually constrained to (almost) zero. The section “SATELLITE-SPECIFIC PARAMETER SETUP” in the same panel can be used to specifically define satellite-specific requests concerning the setup of pseudo-stochastic pulses. You may include lines with individual satellite PRN number, 99 for all satellites, or 98 for eclipsing satellites. If 97 is specified, stochastic pulses are set up for eclipsing satellites only Bernese GPS Software Version 5.0 Page 315
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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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Page 318 and 319: 14. Clock Estimation τ (BRUS-PTBB)
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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 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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