Multi-GNSS differential code biases (DCBs) estimation within MGEX

Similar documents
International GNSS Service Workshop 2017

MGEX DCB Products Oliver Montenbruck

MGEX Clock Determination at CODE

Multi-GNSS / Multi-Signal code bias determination from raw GNSS observations

GFZ Analysis Centre: Multi-GNSS Processing and Products

Combined global models of the ionosphere

Differential Code Bias Estimation using Multi-GNSS Observations and Global Ionosphere Maps

GNSS Ionosphere Analysis at CODE

Estimation Method of Ionospheric TEC Distribution using Single Frequency Measurements of GPS Signals

Experiments on the Ionospheric Models in GNSS

INTEROPERABILITY OF THE GNSS'S FOR POSITIONING AND TIMING. A. Caporali, L. Nicolini University of Padova, Italy

Methods and other considerations to correct for higher-order ionospheric delay terms in GNSS

Analysis of GNSS Receiver Biases and Noise using Zero Baseline Techniques

CODE. L. Prange, R. Dach, S. Schaer, S. Lutz, A. Jäggi

Comparison of GPS receiver DCB estimation methods using a GPS network

SUMMARY RECOMMENDATIONS IGS 2014 WORKSHOP PASADENA, CA, USA JUNE 2014

Preparing for the Future The IGS in a Multi-GNSS World

UPC VTEC FORECAST MODEL BASED ON IGS GIMS

The Stability Analysis of GNSS Satellite DCB

Real-time challenges of an. Australian National Positioning Infrastructure

GNSS Analysis with Galileo Observations in the Subnetwork of the BEK Analysis Centre

The added value of new GNSS to monitor the ionosphere

WHU s developments for the MGEX precise products and the GNSS ultra-rapid products

Real-Time and Multi-GNSS Key Projects of the International GNSS Service

Present and future IGS Ionospheric products

Key issues, recommendations, action items

Compact multi-gnss PPP corrections messages for transmission through a 250 bps channel

Progress of igmas and

IGS Products for the Ionosphere

Originally published as:

Convergence Time Improvement of Precise Point Positioning

COMPARISON BETWEEN BROADCAST AND PRECISE ORBITS: GPS GLONASS GALILEO AND BEIDOU. A. Caporali and L. Nicolini University of Padova, Italy

Analysis on the Potential Performance of GPS and Galileo Precise Point Positioning using. Francesco Basile, Terry Moore, Chris Hill

Measuring Total Electron Content. Investigation of Two Different Techniques

Triple Frequency precise point positioning with multi-constellation GNSS

Modeling regional ionospheric delay with ground-based BeiDou and GPS observations in China

MULTI-GNSS TIME TRANSFER

Real-time single-frequency precise point positioning: accuracy assessment

GNSS analysis software GSILIB for utilizing Multi- GNSS data

Time and frequency transfer methods based on GNSS. LIANG Kun, National Institute of Metrology(NIM), China

Chapter 39 Mitigation of Ionospheric Delay in GPS/BDS Single Frequency PPP: Assessment and Application

The IGS Real-time Pilot Project

Innovation: Instantaneous centimeter-level multi-frequency precise point positioning

An Analysis of the Short- Term Stability of GNSS Satellite Clocks

Evaluation of Multi-Constellation GNSS Precise Point Positioning (PPP) Techniques in Egypt

Development of an Open Source Multi GNSS Data Processing Software

Multi-Constellation GNSS Precise Point Positioning using GPS, GLONASS and BeiDou in Australia

Regularized Estimation of TEC from GPS Data (Reg-Est) Prof. Dr. Feza Arikan

Precise positioning in multi-gnss mode

Positioning Techniques. João F. Galera Monico - UNESP Tuesday 12 Sep

Multisystem Real Time Precise-Point-Positioning, today with GPS+GLONASS in the near future also with QZSS, Galileo, Compass, IRNSS

IONO_WG STATUS REPORT AND OUTLOOK - POSITION PAPER -

Evaluation of L2C Observations and Limitations

Multi-GNSS real-time troposphere delay estimation

QZSS and LEX Signal. Performance of Real-Time Precise Point Positioning Using MADOCA-LEX Augmentation Messages. Outline

Precise positioning in Europe using the Galileo and GPS combination

BeiDou Orbit Determination Processes and Products in JPL's GDGPS System

IONEX: The IONosphere Map EXchange Format Version 1.1

On the Convergence of Ionospheric Constrained Precise Point Positioning (IC-PPP) Based on Undifferential Uncombined Raw GNSS Observations

MAGICGNSS RTCM-BASED SERVICE, A LEAP FORWARD TOWARDS MULTI- GNSS HIGH ACCURACY REAL-TIME PROCESSING

INTEROPERABILITY OF THE GNSS'S FOR POSITIONING AND TIMING. A. Caporali, L. Nicolini University of Padova, Italy

ESOC s Multi-GNSS Processing

RINEX. The Receiver Independent Exchange Format. Version 3.04

GALILEO COMMON VIEW: FORMAT, PROCESSING, AND TESTS WITH GIOVE

The International Scene: How Precise Positioning Will Underpin Critical GNSS Applications

Global ionosphere maps based on GNSS, satellite altimetry, radio occultation and DORIS

Assessment of the Contribution of QZSS Combined GPS/BeiDou Positioning in Asia-Pacific Areas

CALIBRATING GNSS SATELLITE ANTENNA GROUP-DELAY VARIATIONS USING SPACE AND GROUND RECEIVERS

MULTI-GNSS TIME TRANSFER

Compact multi-gnss PPP corrections messages for transmission through a 250 bps channel

Multi-GNSS Environment. Chris Rizos UNSW, Australia President IAG

Introduction to Global Navigation Satellite System (GNSS) Signal Structure

A New Ionosphere Monitoring Service over the ASG-EUPOS Network Stations

BDS Real-time Precise Products from WHU and its application in NBASS

MONITOR IONOSPHERIC MONITORING SYSTEM: GNSS PERFORMANCE ESTIMATION. 13, Promenade Paul Doumer, Courbevoie, 92400, France

Global and Regional Real-Time Infrastructure for open access use

CCTF 2015: Report of the Royal Observatory of Belgium

Asia Oceania Regional Workshop on GNSS Precise Point Positioning Experiment by using QZSS LEX

Fast convergence of Trimble CenterPoint RTX by regional augmentation

Quasi-Zenith Satellite System (QZSS)

GNSS Low-Cost High-Accuracy Receiver (L-CHAR)

Assessment of GPS global ionosphere maps (GIM) by comparison between CODE GIM and TOPEX/Jason TEC data: Ionospheric perspective

Enhancing global PPP with Local Ionospheric Corrections

Real-time Stream Conversion to RTCM-3 MSM and RINEX-3 in IGS/MGEX Context

International GNSS Monitoring & Assessment Service for OS (igmas) ICG September 2011, Tokyo, Japan

GEODETIC AND NON GEODETIC APPLICATIONS PERFORMED BY WUT LAC

GPS-Galileo Time Offset (GGTO) Galileo Implementation Status and Performance. Jörg Hahn

GPS Based Ionosphere Mapping Using PPP Method

SSR Technology for Scalable Real-Time GNSS Applications

PosKEN Related Activities in the Czech Republic

RTCM-SSR Strategy of Bias Treatment

GNSS Integrity Monitoring

Initial Assessment of BDS Zone Correction

GNSS orbits and ERPs from CODE s repro2 solutions

NeQuick model performance analysis for GNSS mass market receivers positioning

Recommendation 16-A for Committee Decision

BeiDou Next Generation Signal Design and Expected Performance

The Multi-Mode Time Transfer Based on GNSS

Access from the University of Nottingham repository:

Issues Related to the Use of Absolute GPS/GLONASS PCV Models

Transcription:

Multi-GNSS differential code biases (DCBs) estimation within MGEX Ningbo Wang 1, Yunbin Yuan 1, Zishen Li 2, Oliver Montenbruck 3 1 Institute Institute of Geodesy and Geophysics (IGG), CAS 2 Academy of Opto-Electronics (AOE), CAS 3 German Aerospace Center (DLR) IGS Workshop 2016, Sydney, Australia

Background (1/2) Mo2va2on Differen$al Code Biases (DCBs) are defined as the biases between two code observa$ons at the same/different frequencies GNSS DCBs are needed for code based posi$oning, ionospheric TEC extrac$on, etc. Most current DCB products limit to legacy GPS and GLONASS signals IGS Ionospheric Analysis Centers (IIACs, including CODE, UPC, ESA, JPL) Mul$- GNSS DCB products are needed with the new emerging constella$ons (BDS and Galileo) and new signals Mul$- GNSS Experiment (MGEX) network offers an independent basis for Mul$- GNSS DCB determina$on German Aerospace Center (DLR) proposes a simplified method for DCB es$ma$on using Global Ionosphere Maps (GIMs) Considering the mul$plicity of MGEX DCB products, IGGDCB method is extended for Mul$- GNSS DCB es$ma$on Slide 2

Tracking Network Background (2/2) MGEX network shows a global coverage (~140 sta$ons), suppor$ng to track GPS, GLONASS, BDS, Galileo and QZSS signals Green: IGS, GPS+GLO, ~400 sites Blue: MGEX, GPS+GLO+BDS+GAL, ~140 sites Red: igmas, GPS+GLO+BDS+GAL, ~15 sites Slide 3

DCB processing scheme (1/3) IGS DCB Products GPS + GLONASS Code observa$ons: C1, P1, P2 (P1- C1 and P1- P2) Global ionospheric TEC modeling + DCB es$ma$on Zero- constella$on- mean constraint for satellite and receiver DCB separa$on DCB products: CODE (monthly interval, Bernese format) 1 IIACs (daily interval, IONEX format) 2 MGEX DCB Products GPS + GLONASS + BDS + Galileo All tracked signals (no QZSS) Processing scheme: DLR (DCB determina$on using GIMs) IGG/CAS (sta$on- based ionospheric modeling + DCB es$ma$on) Zero- constella$on- mean constraint for satellite and receiver DCB separa$on DCB products in Bias SINEX DCB Format (Version 0.01) 1. Schaer S (2012) Overview of GNSS biases. IGS Workshop on GNSS Biases 2012, University of Bern, Switzerland 2. Hernández- PajaresM, Juan JM, Sanz J, Orus R, Garcia- Rigo A, Feltens J, Komjathy A, Schaer S, Krankowski A (2009) The IGS VTEC maps: a reliable source of ionospheric informa=on since 1998. J Geod 83(3 4):263 275 Slide 4

DCB processing scheme (2/3) DLR Mul2- GNSS DCB determina2on using GIMs DCB from ionosphere- corrected pseudorange difference Take advantage of known ionosphere based on global ionosphere maps IGS GIM product Ionospheric single- layer assump$on Zero- constella$on- mean constraint averaged/ignored ( ) ( ) ( ) ( ε ε ) P P = I I + B B + M M + S S S S S S S S S S 1 2 1 2 1 2 1 2 1 2 1 1 40.28 stec DCB 2 2 + fs1 fs2 sat + rec S S 1 2 measured GIM corrected es$mated Montenbruck O, Hauschild A, Steigenberger P (2014) Differen=al Code Bias Es=ma=on using Mul=- GNSS Observa=ons and Global Ionosphere Maps. Naviga$on 61(3):191 201 Slide 5

DCB processing scheme (3/3) IGG/CAS Mul2- GNSS DCB determina2on with IGGDCB method Intra- frequency biases are directly determined from GNSS observa$ons Local ionospheric model for the combined es$ma$on of ionosphere and DCBs Generalized triangular series (GTS) func$on Ionospheric single- layer assump$on (a) measured (b) modeled with local GTS func$on (c) es$mated P P 1 1 40.28 stec + DCB 1 2 sat + rec S1 S2 2 2 S1 S2 fs fs GTS func$on for local ionospheric modeling STEC(, z ϕ, h) = VTEC(, ϕh) mf nmax mmax k max VTEC( ϕ, h) = E ϕ ϕ h + C cos( k h) + S sin( k h) n= 0 m= 0 k= 0 { n m nm ( 0 ) } { k k } Wang, N, Yuan, Y, Li, Z, Montenbruck O, Tan B (2015) Determina=on of differen=al code biases with mul=- GNSS observa=ons. J Geod hqp://dx.doi.org/10.1007/s00190-015- 0867-4 Slide 6

MGEX DCB products (1/7) MGEX DCB products overview Support all GPS, GLO, GAL and BDS signals (no QZSS) File names (long name since 10/2015) IGG - CAS0MGXRAP_yyyyddd0000_01D_01D_DCB.BSX.gz DLR - DLR0MGXFIN_yyyy0010000_nnu_07D_DCB.BSX.gz DLR0MGXFIN_yyyy0010000_nnu_01D_DCB.BSX.gz Product archives CDDIS - rp://cddis.gsfc.nasa.gov/pub/gps/products/mgex/dcb IGN - rp://igs.ign.fr/pub/igs/products/mgex/dcb DCB products available from 01/2013 IGG updated daily (daily interval) DLR updated quarterly (both weekly and daily intervals) See more: New Mul$- GNSS Differen$al Code Bias (DCB) Product [IGSMAIL - 7173] Slide 7

MGEX DCB products (2/7) GPS and GLONASS satellite DCB results RMS between IGG/DLR and CODE solu$ons (a) IGG/CAS GPS à C1WC2W: 0.29 ns GLONASS à C1PC2P: 0.56 ns (b) DLR GPS à C1WC2W: 0.24 ns GLO à C1PC2P: 0.84 ns Impact of different networks (IGS vs. MGEX) and receiver types on GNSS DCB solu$ons Notable dependence on frequency channel number for both IGG and DLR GLONASS DCB solu$ons Bias and STD of the MGEX- based C1WC2W and C1PC2P DCB es$mates rela$ve to CODE for the period 2013-2014 Slide 8

Performance of GPS broadcast ISCs MGEX DCB products (3/7) Inter- Signal Correc$ons (ISC) for L1C/A and new signals w.r.t L1P(Y) included in GPS Civil Naviga$on message (CNAV) in addi$on to Timing Group Delay (TGD) parameter ISC L1C/A, ISC L2C, ISC L5I5 and ISC L5Q5 RMS of broadcast ISC C/A and IGG/DLR DCBs is about 0.2 ns, and that of TGD, ISC L2C and ISC L5Q is about 0.5 ns Comparison of TGD and ISC parameters from CNAV, CODE, DLR and IGG (04/2014-04/2015) Steigenberger P, Montenbruck O, Hessel U (2015) Performance Evalua=on of the Early CNAV Naviga=on Message. Naviga$on, 62(3): 219-228. Slide 9

MGEX DCB products (4/7) BDS satellite DCB results Time series of BDS satellite C2I- C7I and C2I- C6I DCBs during the period 2013-2015 RMS of the differences between BDS DCB solu$ons of IGG and DLR is limited to 0.4 ns, while that of broadcast TGD is about 1.4 ns Slide 10

MGEX DCB products (5/7) BDS receiver DCB results BDS receiver DCBs exhibit an dependence on receiver types Trimble NETR9 receivers: 18.0~24.0 ns Septentrio receivers: 13.0~19.0 ns Time series of BeiDou C2I- C7I DCBs for the selected receivers during the period 2013 2015 Slide 11

MGEX DCB products (6/7) Galileo satellite DCB results Time series of Galileo C1X- C5X, C1X- C7X and C1X- C8X DCB solu$ons during the period 2013-2014 RMS of the differences between Galileo DCB solu$ons of IGG and DLR performs at the level of 0.23 ns Slide 12

MGEX DCB products (7/7) Performance of Galileo BGDs Galileo broadcast clock offsets refer to the ionosphere- free linear combina$on of E5a and E1 Broadcast Group Delays (BGD, BGD E5aE1 and BGD E5bE1 ) contained in naviga$on message RMS of the differences between broadcast BGDs and DLR DCBs is 0.55 ns Improved broadcast BGD quality since 05/2015 Bias and STD of the broadcast BGD E5aE1 and BGD E5bE1 parameters rela$ve to DLR DCBs for the period 2013-2015 Slide 13

Summary (1/1) Alterna$ve DCB es$ma$on algorithm - IGGDCB sta$on- based ionospheric modeling instead of using global ionosphere maps Allows Mul$- GNSS DCB process and analysis within MGEX network Rou$ne CAS/IGG MGEX DCB products contribute to IGS MGEX project Good agreement of IGG DCB products with CODE/DLR DCBs (rms of differences) Limits to 0.1ns, 0.2ns and 0.4ns for GPS C1C- C1P, GLONASS C1C- C1P and C2C- C2P (w.r.t CODE) Performs at the level of 0.29ns and 0.56ns for GPS C1W- C2W and GLONASS C1P- C2P (w.r.t CODE) 0.33ns and 0.39ns for BDS C2I- C7I and C2I- C6I DCBs, respec$vely (w.r.t DLR) Overall agreement limits to 0.24ns for Galileo DCBs (w.r.t DLR) IGS and MGEX DCB products for GPS and GLONASS Impact of different networks and receiver types: further assessment required Slide 14

Thanks for your a-en/on. Many thanks to Dr. Oliver Montenbruck, Bruno Garayt and Carey Noll for coordina2ng and helping with the delivery of IGG/CAS MGEX DCB products to IGN and CDDIS Yp archive. Contact e- mail: wnbigg@asch.whigg.ac.cn Slide 15