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It's not all bad, understanding and using GNSS multipath / A. Bilich in GPS world, vol 20 n° 10 (October 2009)
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Titre : It's not all bad, understanding and using GNSS multipath Type de document : Article/Communication Auteurs : A. Bilich, Auteur ; K. Larson, Auteur Année de publication : 2009 Article en page(s) : pp 31 - 39 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] humidité du sol
[Termes IGN] mesurage de phase
[Termes IGN] positionnement par GNSS
[Termes IGN] rapport signal sur bruit
[Termes IGN] récepteur GNSS
[Termes IGN] trajet multipleRésumé : (Editeur) [...] Although the FM "capture effect" provides some margin against multipath, it is not uncommon to lose stereo reception or to experience fading out of the signal while driving in built-up areas as a result of reflections. This same multipath phenomenon also affects GNSS signals. Unlike satellite TV antennas, the antennas feeding our GNSS receivers are omnidirectional. So we have the possibility of not only receiving a direct, line-of-sight signal from a GNSS satellite but also any indirect signal from the satellite that gets reflected off nearby buildings or other objects or even the ground. GNSS antenna and receiver manufacturers have developed techniques to minimize the impact of multipath on the GNSS observables. Nevertheless, there is typically some residual multipath afflicting the pseudorange and carrier-phase observables that limits the precision and accuracy of position determinations. Telltale signs of multipath are the quasi-periodic fluctuations in the signal-to-noise ratios (SNRs) reported by some GNSS receivers, and in this month's column, we learn how an analysis of SNR values can be used to map and better understand the multipath environment surrounding an antenna. And, although an annoyance for most GNSS users, it turns out that multipath is not all bad. By analyzing the SNR fluctuations due to multipath, characteristics of the reflector can be deduced. If the reflector is the ground, then the amount of moisture in the soil can be measured. GNSS for measuring soil moisture? Who would have thought? Copyright Questex Media Group Numéro de notice : A2009-448 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30079
in GPS world > vol 20 n° 10 (October 2009) . - pp 31 - 39[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 067-09101 SL Revue Centre de documentation Revues en salle Disponible Improving the precision and accuracy of geodetic GPS / A. Bilich (2006)
Titre : Improving the precision and accuracy of geodetic GPS : applications to multipath and seismology Type de document : Thèse/HDR Auteurs : A. Bilich, Auteur ; K. Larson, Directeur de thèse Editeur : Boulder [Etats-Unis] : University of Colorado Année de publication : 2006 Importance : 374 p. Format : 21 x 28 cm ISBN/ISSN/EAN : 978-0-542-94205-1 Note générale : Bibliographie
A thesis submitted to the Faculty of the graduate school of the University of Colorado in partial fulfillment of the requirements for the degree of Doctor of philosophy, department of aerospace engineering sciencesLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie spatiale
[Termes IGN] égalisation
[Termes IGN] erreur de positionnement
[Termes IGN] filtrage du bruit
[Termes IGN] mesurage de phase
[Termes IGN] mesurage de pseudo-distance
[Termes IGN] positionnement par GPS
[Termes IGN] rapport signal sur bruit
[Termes IGN] réduction
[Termes IGN] séisme
[Termes IGN] sismologie
[Termes IGN] trajet multipleIndex. décimale : THESE Thèses et HDR Résumé : (Auteur) The Global Positioning System (GPS) enables precise and accurate determination of position anywhere on anywhere on the Earth, a boon to the field of geodesy. Although great advances in geodetic GPS positioning precision and accuracy have been made over the last decade, improvements can still be made. This dissertation addresses GPS positioning error from two different directions---understanding and taking advantage of the repeating nature of some errors, or understanding and taking advantage of the relationship between errors in different contemporaneous GPS observables. In the area of high-rate GPS positioning, repeating errors have a substantial impact on the solution. In this dissertation, I study high-rate GPS error reduction using data from the 2002 Denali Fault earthquake. I apply the techniques of modified sidereal filtering and spatial filtering to positions from 25 GPS stations throughout northwestern North America, and I develop improvements to these methods such as data equalization and careful selection of sidereal filtering sites. Substantial reduction in noise magnitude is achieved through proper application of sidereal and spatial filters, and the resulting 'GPS seismograms' show excellent agreement to records from seismometers. Multipath, where GPS signals arrive by more than one path and thereby create a range error, can be understood through the GPS observables. Multipath effects on GPS carrier phase, pseudorange, and signal-to-noise ratio (SNR) measurements are different but linked by the same underlying principles. In this dissertation, I explain multipath effects on the GPS observables and define multipath in terms of conditions specific to geodetic GPS installations and receivers. I develop two approaches to multipath errors, both using SNR measurements---a graphical method for multipath assessment, and a computational method for multipath modeling and carrier phase error reduction. The graphical method shows great promise for understanding spatial and temporal variability in multipath errors, but provides no avenue for removing these errors. The theory behind SNR modeling is robust, but complicated to implement with geodetic GPS measurements of SNR. I discuss the difficulties inherent in SNR modeling and demonstrate how this technique is of limited utility for geodetic GPS even in the most simple of multipath environments. Note de contenu : 1 Introduction
1.1 Global Positioning System Background
1.2 GPS Observables
1.3 Position Estimation with GIPSY
1.3.1 Satellite Orbits
1.3.2 Earth and Observation Models
1.3.3 Removing Ionospheric Effects
1.3.4 Unmodeled Terms
1.3.5 Position Solution
2 Overview of High-Rate Positioning Research
2.1 Comparision of GPS and Seismologic Measurements
2.2 Previous Work in GPS Seismology
2.3 Case Study: 2002 November 3 Denali Fault Event
2.3.1 Denali Fault earthquake
2.3.2 GPS network and analysis
2.3.3 Error-reduction methodology
3 High-rate GPS Techniques
3.1 Sidereal Filtering
3.1.1 Orbital repeat period
3.1.2 Modified sidereal filtering (MSF) method
3.1.3 Variables in sidereal filtering process
3.2 Additional Data Analysis
3.2.1 Ambiguity resolution
3.2.2 Data editing
3.3 Spatial Filtering
3.3.1 Common-mode errors
3.3.2 Spatial filtering method
3.3.3 Spatial filtering sites
3.3.4 Role of the reference site and filter order
4 High-rate GPS Results and Discussion
4.1 Surface Waves Recorded by GPS
4.2 Positioning Noise
4.2.1 Noise floor of GPS receivers
4.2.2 Generalized noise in GPS positions
4.3 Comparison to Seismic Recordings
4.4 Summary and Conclusions
4.5 Future Work
5 Overview of Multipath Research
5.1 Previous Work
5.2 Research Motivation and Overview
6 Principles of Multipath and SNR
6.1 GPS Receiver Signal Tracking
6.2 Multipath Terminology
6.3 Multipath Effects on GPS Observables
6.3.1 Pseudorange multipath
6.3.2 Carrier phase multipath
6.3.3 Effect of multipath on SNR
6.4 Summary of Multipath Theory
7 Multipath Under Geodetic GPS Conditions
7.1 Multipath Geometry for the Geodetic Case
7.1.1 Multipath geometry and errors
7.1.2 Time-varying behavior of ø and SNR
7.1.3 Multipath geometry and periodicity
7.1.4 Resolvable multipath frequencies
7.1.5 Multipath phasor spin
7.1.6 Direct and multipath amplitudes
7.1.7 Summary
7.2 Geodetic GPS Receivers
7.2.1 Computation and reporting of SNR
7.2.2 Characteristics of geodetic GPS SNR
7.2.3 Correlation of SNR and pseudorange multipath
7.2.4 Conclusions
8 Multipath Assessment for Permanent GPS Stations
8.1 SNR Power Spectral Maps
8.1.1 Spectral power estimates
8.1.2 Representation of gridded spectral power
8.2 Examples of Power Spectral Maps
8.2.1 TASH: tall pillar
8.2.2 MKEA: reflections from angled surfaces
8.2.3 CHUR: variable topography
8.3 Discussion and Future Work
9 Estimation of SNR-based Multipath Corrections
9.1 Direct Signal Amplitude and SNR Due to Multipath
9.2 Signal Conditioning
9.3 Multipath Frequency Estimation Via Sliding-Window Fast Fourier Transform (SWFFT)
9.4 Amplitude and Multipath Phase Estimation Via Adaptive Least Squares (ALS)
9.5 Construction of SNR and Multipath Corrections
9.6 Simulations
10 Phase Multipath Mitigation for GPS Stations
10.1 Salar de Uyuni Experiment
10.1.1 Phase errors
10.1.2 Phase multipath corrections
10.1.3 Effect of corrections on residuals and positions
10.2 TASH/KIT3 Network
10.2.1 SNR data
10.2.2 Phase multipath corrections
10.2.3 Phase errors and corrections
10.3 Discussion and Future Work
11 ConclusionsNuméro de notice : 14325 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Thèse française Note de thèse : Thèse de doctorat : philosophy. department of aerospace engineering sciences : Boulder,University of Colorado : 2006 nature-HAL : Thèse DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=45244 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 14325-01 THESE Livre Centre de documentation Thèses Disponible