Precision analysis of troposphere sensing using GPS single-frequency signals

Various studies have been performed to investigate the accuracy of troposphere zenith wet delays (ZWDs) determined from GPS. Most of these studies use dual-frequency GPS data of large-scale networks with long baselines to determine the absolute ZWDs. For small-scale networks the estimability of the...

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Main Authors: Wang, Kan, Khodabandeh, Amir, Teunissen, Peter
Format: Journal Article
Published: Elsevier Ltd 2019
Online Access:http://hdl.handle.net/20.500.11937/72866
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author Wang, Kan
Khodabandeh, Amir
Teunissen, Peter
author_facet Wang, Kan
Khodabandeh, Amir
Teunissen, Peter
author_sort Wang, Kan
building Curtin Institutional Repository
collection Online Access
description Various studies have been performed to investigate the accuracy of troposphere zenith wet delays (ZWDs) determined from GPS. Most of these studies use dual-frequency GPS data of large-scale networks with long baselines to determine the absolute ZWDs. For small-scale networks the estimability of the absolute ZWDs deteriorates due to high correlation between the solutions of the ZWDs and satellite-specific parameters as satellite clocks. However, as relative ZWDs (rZWDs) can always be estimated, irrespective of the size of the network, it is of interest to understand how the large-scale network rZWD-performance of dual-frequency GPS using an ionosphere-float model compares to the small-scale network rZWD-performance of single-frequency GPS using an ionosphere-weighted model. In this contribution such an analysis is performed using undifferenced and uncombined network parametrization modelling. In this context we demonstrate the ionosphere weighted constraints, which allows the determination of the rZWDs independent from signals on the second frequency. Based on an analysis of both simulated and real data, it is found that under quiet ionosphere conditions, the accuracy of the single-frequency determined rZWDs in the ionosphere-weighted network is comparable to that of the large-scale dual-frequency network without ionospheric constraints. Making use of the real data from two baselines of 15 days, it was found that the absolute differences of the rZWDs applying the two strategies are within 1 cm in over 90% and 95% of the time for ambiguity-float and -fixed cases, respectively.
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institution Curtin University Malaysia
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publishDate 2019
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spelling curtin-20.500.11937-728662021-01-08T07:54:27Z Precision analysis of troposphere sensing using GPS single-frequency signals Wang, Kan Khodabandeh, Amir Teunissen, Peter Various studies have been performed to investigate the accuracy of troposphere zenith wet delays (ZWDs) determined from GPS. Most of these studies use dual-frequency GPS data of large-scale networks with long baselines to determine the absolute ZWDs. For small-scale networks the estimability of the absolute ZWDs deteriorates due to high correlation between the solutions of the ZWDs and satellite-specific parameters as satellite clocks. However, as relative ZWDs (rZWDs) can always be estimated, irrespective of the size of the network, it is of interest to understand how the large-scale network rZWD-performance of dual-frequency GPS using an ionosphere-float model compares to the small-scale network rZWD-performance of single-frequency GPS using an ionosphere-weighted model. In this contribution such an analysis is performed using undifferenced and uncombined network parametrization modelling. In this context we demonstrate the ionosphere weighted constraints, which allows the determination of the rZWDs independent from signals on the second frequency. Based on an analysis of both simulated and real data, it is found that under quiet ionosphere conditions, the accuracy of the single-frequency determined rZWDs in the ionosphere-weighted network is comparable to that of the large-scale dual-frequency network without ionospheric constraints. Making use of the real data from two baselines of 15 days, it was found that the absolute differences of the rZWDs applying the two strategies are within 1 cm in over 90% and 95% of the time for ambiguity-float and -fixed cases, respectively. 2019 Journal Article http://hdl.handle.net/20.500.11937/72866 10.1016/j.asr.2018.09.006 http://creativecommons.org/licenses/by/4.0/ Elsevier Ltd fulltext
spellingShingle Wang, Kan
Khodabandeh, Amir
Teunissen, Peter
Precision analysis of troposphere sensing using GPS single-frequency signals
title Precision analysis of troposphere sensing using GPS single-frequency signals
title_full Precision analysis of troposphere sensing using GPS single-frequency signals
title_fullStr Precision analysis of troposphere sensing using GPS single-frequency signals
title_full_unstemmed Precision analysis of troposphere sensing using GPS single-frequency signals
title_short Precision analysis of troposphere sensing using GPS single-frequency signals
title_sort precision analysis of troposphere sensing using gps single-frequency signals
url http://hdl.handle.net/20.500.11937/72866