Accuracy limits in multi-GNSS

Satellite navigation is quickly becoming a multidimensional complex challenge, with four Global Navigation Satellite Systems (GNSS) fully or partially deployed, more than 90 GNSS satellites currently in the sky, and 12 open-service GNSS signal types available to the end-user. Research papers about GNSS performance typically focus on single or dual GNSS solutions, and there are still very few papers addressing jointly the four existing GNSS together. It is the goal of our paper to present a unified, fast, modular, and simple-to-program theoretical analysis of the four GNSS, focusing on performance limits in terms of spectral characteristics, tracking, multipath robustness, and positioning accuracy. A unified new compact approach for dealing with all the modulations employed in GNSS is also included.We show a unified generic framework for analyzing the multi-GNSS signals in a fast and simple-to-implement manner, without the need of simulating constellations or gathering measurement data. Our approach is also validated with Spectracom-based constellation data. Our analysis can be used as the starting point in further design process or system analysis.

[1]  Markku Renfors,et al.  Feedforward Delay Estimators in Adverse Multipath Propagation for Galileo and Modernized GPS Signals , 2006, EURASIP J. Adv. Signal Process..

[2]  Changsheng Cai.  A Solution for Combined GPS/GLONASS Navigation in Conditions of Limited Satellite Visibility , 2008 .

[3]  Seung-Hyun Kong,et al.  Statistical Analysis of Urban GPS Multipaths and Pseudo-Range Measurement Errors , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[4]  Nesreen I. Ziedan,et al.  GNSS receivers for weak signals , 2006 .

[5]  Jinling Wang,et al.  Stochastic Ionosphere Models for Precise GNSS Positioning: Sensitivity Analysis , 2013 .

[6]  Markku Renfors,et al.  Binary-offset-carrier modulation techniques with applications in satellite navigation systems , 2007, Wirel. Commun. Mob. Comput..

[7]  Michael S. Braasch,et al.  GNSS Multipath Mitigation Using Gated and High Resolution Correlator Concepts , 1999 .

[8]  Frank van Diggelen,et al.  A-GPS: Assisted GPS, GNSS, and SBAS , 2009 .

[9]  Markku Renfors,et al.  Complex double-binary-offset-carrier modulation for a unitary characterisation of Galileo and GPS signals , 2006 .

[10]  Boubeker Belabbas,et al.  RAIM Algorithms Analysis for a Combined GPS/GALILEO Constellation , 2005 .

[11]  Philip G Mattos.  Accuracy and Availability Trials of the Consumer GPS/GLONASS Receiver in Highly Obstructed Environments , 2011 .

[12]  Elena Simona Lohan.  Analytical performance of CBOC-modulated Galileo E1 signal using sine BOC(1,1) receiver for mass-market applications , 2010, PLANS 2010.

[13]  G.W. Hein,et al.  MBOC: The New Optimized Spreading Modulation Recommended for GALILEO L1 OS and GPS L1C , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[14]  John W. Betz,et al.  Binary Offset Carrier Modulations for Radionavigation , 2001 .

[15]  Tung Hai Ta,et al.  Development of real multi-GNSS positioning solutions and performance analyses , 2013, 2013 International Conference on Advanced Technologies for Communications (ATC 2013).

[16]  Fabio Dovis,et al.  A Comparison between Different Error Modeling of MEMS Applied to GPS/INS Integrated Systems , 2013, Sensors.

[17]  Stefan Baumann,et al.  Global navigation satellite systems. , 2000 .

[18]  Yang Gao,et al.  An analysis on combined GPS/COMPASS data quality and its effect on single point positioning accuracy under different observing conditions , 2014 .

[19]  Søren Holdt Jensen,et al.  A Software-Defined GPS and Galileo Receiver: A Single-Frequency Approach , 2006 .

[20]  Pat Fenton,et al.  Theory and Performance of Narrow Correlator Spacing in a GPS Receiver , 1992 .

[21]  John W. Betz,et al.  Design and Performance of Code Tracking for the GPS M Code Signal , 2000 .

[22]  J. K. Ray,et al.  Mitigation of GPS code and carrier phase multipath effects using a multi-antenna system , 2000 .

[23]  Jari Nurmi,et al.  Multicore Software-Defined Radio Architecture for GNSS Receiver Signal Processing , 2009, EURASIP J. Embed. Syst..

[24]  M. Petovello,et al.  Implementation of a Dual-Frequency GLONASS and GPS L1 C/A Software Receiver , 2010, Journal of Navigation.

[25]  S. Li,et al.  A Comprehensive Methodology for Assessing Radio Frequency Compatibility for GPS, Galileo and Compass , 2010 .

[26]  Baoyong Chi,et al.  A dual-channel GPS/Compass/Galileo/GLONASS reconfigurable GNSS receiver in 65nm CMOS , 2011, 2011 IEEE Custom Integrated Circuits Conference (CICC).

[27]  Gonzalo Seco-Granados,et al.  Relation between GDOP and the geometry of the satellite constellation , 2011, 2011 International Conference on Localization and GNSS (ICL-GNSS).

[28]  Per K. Enge,et al.  Global positioning system: signals, measurements, and performance [Book Review] , 2002, IEEE Aerospace and Electronic Systems Magazine.

[29]  K. Senior,et al.  Characterization of periodic variations in the GPS satellite clocks , 2008 .

[30]  Mohamed Sahmoudi,et al.  A Nonlinear Filtering Approach for Robust Multi-GNSS RTK Positioning in Presence of Multipath and Ionospheric Delays , 2009, IEEE Journal of Selected Topics in Signal Processing.

[31]  John W. Betz,et al.  EXTENDED THEORY OF EARLY-LATE CODE TRACKING FOR A BANDLIMITED GPS RECEIVER , 2000 .

[32]  Markku Renfors,et al.  A Reduced Search Space Maximum Likelihood Delay Estimator for Mitigating Multipath Effects in Satellite-based Positioning , 2009 .

[33]  Markku Renfors,et al.  A Slope-Based Multipath Estimation technique for mitigating short-delay multipath in GNSS receivers , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

[34]  R. Yarlagadda,et al.  GPS GDOP metric , 2000 .

[35]  Sandro M. Radicella,et al.  A new version of the NeQuick ionosphere electron density model , 2008 .

[36]  Bavaro Michele,et al.  Design of a GNSS Acquisition-Aiding Signal - Improving Sensitivity and TTFF , 2014 .

[37]  Christophe Macabiau,et al.  GNSS RAIM Assumptions for Vertically Guided Approaches , 2009 .

[38]  A.S. Zaidi,et al.  Global Navigation Satellite Systems: A Survey , 2006, 2006 International Conference on Advances in Space Technologies.

[39]  Markku Renfors,et al.  Code Tracking Algorithms for Mitigating Multipath Effects in Fading Channels for Satellite-Based Positioning , 2008, EURASIP J. Adv. Signal Process..

[40]  Sabina Viola,et al.  Design and Implementation of a Single-Frequency L1 Multiconstellation GPS/EGNOS/GLONASS SDR Receiver with NIORAIM FDE Integrity , 2012 .

[41]  Christophe Macabiau,et al.  Study of the Temporal Behavior of GPS/GALILEO NSE and RAIM for LPV200 , 2011 .

[42]  Elliott D. Kaplan.  Understanding GPS : principles and applications , 1996 .

[43]  P. G. Mattos,et al.  Quad Constellation Receiver - GPS, GLONASS, Galileo, BeiDou , 2013 .

[44]  Gonzalo Seco-Granados,et al.  Challenges in Indoor Global Navigation Satellite Systems: Unveiling its core features in signal processing , 2012, IEEE Signal Processing Magazine.

[45]  Karla Edwards-McGhee.  Site-Specific Point Positioning and GPS Code Multipath Parameterization and Prediction , 2011 .

[46]  Robert Slobodan Radovanovic,et al.  Adjustment of Satellite- Based Ranging Observations for Precise Positioning and , 2002 .

[47]  Mark G. Petovello,et al.  Multichannel Dual Frequency GLONASS Software Receiver , 2008 .

[48]  Ionospheric Modeling The Key to GNSS Ambiguity Resolution , 2005 .