Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method

The single receiver single satellite validation method is a technique that screens data from each satellite independently to detect and identify faulty observations. A new method for estimation of the stochastic properties of multi-constellation GNSS observation is presented utilising parameters of...

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Main Author: El-Mowafy, Ahmed
Format: Journal Article
Published: Maney Publishing 2015
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/25861
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author El-Mowafy, Ahmed
author_facet El-Mowafy, Ahmed
author_sort El-Mowafy, Ahmed
building Curtin Institutional Repository
collection Online Access
description The single receiver single satellite validation method is a technique that screens data from each satellite independently to detect and identify faulty observations. A new method for estimation of the stochastic properties of multi-constellation GNSS observation is presented utilising parameters of this validation method. Agreement of the characteristics of the validation statistics with theory is used as the criterion to select the best precision of the observations, spectral density and correlation time of the unknowns. A curve fitting approach in an iterative scheme is employed. The method is applicable to any GNSS with any arbitrary number of frequencies. Demonstration of the method results and performance is given using multiple-frequency data from GPS, GLONASS and Galileo in static and kinematic modes.
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institution Curtin University Malaysia
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publishDate 2015
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spelling curtin-20.500.11937-258612018-05-16T00:02:47Z Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method El-Mowafy, Ahmed GNSS Observation precision Data validation Stochastic properties The single receiver single satellite validation method is a technique that screens data from each satellite independently to detect and identify faulty observations. A new method for estimation of the stochastic properties of multi-constellation GNSS observation is presented utilising parameters of this validation method. Agreement of the characteristics of the validation statistics with theory is used as the criterion to select the best precision of the observations, spectral density and correlation time of the unknowns. A curve fitting approach in an iterative scheme is employed. The method is applicable to any GNSS with any arbitrary number of frequencies. Demonstration of the method results and performance is given using multiple-frequency data from GPS, GLONASS and Galileo in static and kinematic modes. 2015 Journal Article http://hdl.handle.net/20.500.11937/25861 10.1179/1752270614Y.0000000100 Maney Publishing fulltext
spellingShingle GNSS
Observation precision
Data validation
Stochastic properties
El-Mowafy, Ahmed
Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title_full Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title_fullStr Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title_full_unstemmed Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title_short Estimation of Multi-Constellation GNSS Observation Stochastic Properties Using a Single-Receiver Single-Satellite Data Validation Method
title_sort estimation of multi-constellation gnss observation stochastic properties using a single-receiver single-satellite data validation method
topic GNSS
Observation precision
Data validation
Stochastic properties
url http://hdl.handle.net/20.500.11937/25861