On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact

© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. High-precision single-receiver positioning requires the provision of reliable network-derived corrections. Care must therefore be exercised to continuously check the quality of the corrections and to detect the possible presence of mis-m...

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Main Authors: Khodabandeh, A., Wang, J., Rizos, C., El-Mowafy, Ahmed
Format: Journal Article
Language:English
Published: SPRINGER HEIDELBERG 2019
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/75694
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author Khodabandeh, A.
Wang, J.
Rizos, C.
El-Mowafy, Ahmed
author_facet Khodabandeh, A.
Wang, J.
Rizos, C.
El-Mowafy, Ahmed
author_sort Khodabandeh, A.
building Curtin Institutional Repository
collection Online Access
description © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. High-precision single-receiver positioning requires the provision of reliable network-derived corrections. Care must therefore be exercised to continuously check the quality of the corrections and to detect the possible presence of mis-modeled biases in the network data. In network-RTK or its state-space implementation, PPP-RTK, quality control of the solutions is executed in two separate phases: the network component and the user component. Once confidence in the network-derived solutions is declared, a subset of the solutions is sent as corrections to a single-receiver user, thereby allowing the user to separately check the integrity of his network-aided model. In such a two-step integrity monitoring procedure, an intermediate step is missing, the integrity monitoring of the corrections themselves. It is the goal of this contribution to provide a quality control procedure for GNSS parameter solutions at the correction level, and to measure the impact a missed detection bias has on the (ambiguity-resolved) user position. New detection test statistics are derived with which the single-receiver user can check the overall validity of the corrections even before applying them to his data. A small-scale network of receivers is utilized to provide numerical insights into the detectability of mis-modeled biases using the proposed detectors and to analyze the impact of such biases on the user positioning performance.
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spelling curtin-20.500.11937-756942019-06-28T06:06:43Z On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact Khodabandeh, A. Wang, J. Rizos, C. El-Mowafy, Ahmed Science & Technology Technology Remote Sensing Global navigation satellite systems (GNSS) Integrity monitoring Detection test statistics Minimal detectable bias (MDB) Kalman filtering Network-derived corrections AMBIGUITY RESOLUTION INTEGRITY © 2019, Springer-Verlag GmbH Germany, part of Springer Nature. High-precision single-receiver positioning requires the provision of reliable network-derived corrections. Care must therefore be exercised to continuously check the quality of the corrections and to detect the possible presence of mis-modeled biases in the network data. In network-RTK or its state-space implementation, PPP-RTK, quality control of the solutions is executed in two separate phases: the network component and the user component. Once confidence in the network-derived solutions is declared, a subset of the solutions is sent as corrections to a single-receiver user, thereby allowing the user to separately check the integrity of his network-aided model. In such a two-step integrity monitoring procedure, an intermediate step is missing, the integrity monitoring of the corrections themselves. It is the goal of this contribution to provide a quality control procedure for GNSS parameter solutions at the correction level, and to measure the impact a missed detection bias has on the (ambiguity-resolved) user position. New detection test statistics are derived with which the single-receiver user can check the overall validity of the corrections even before applying them to his data. A small-scale network of receivers is utilized to provide numerical insights into the detectability of mis-modeled biases using the proposed detectors and to analyze the impact of such biases on the user positioning performance. 2019 Journal Article http://hdl.handle.net/20.500.11937/75694 10.1007/s10291-019-0863-x English SPRINGER HEIDELBERG restricted
spellingShingle Science & Technology
Technology
Remote Sensing
Global navigation satellite systems (GNSS)
Integrity monitoring
Detection test statistics
Minimal detectable bias (MDB)
Kalman filtering
Network-derived corrections
AMBIGUITY RESOLUTION
INTEGRITY
Khodabandeh, A.
Wang, J.
Rizos, C.
El-Mowafy, Ahmed
On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title_full On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title_fullStr On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title_full_unstemmed On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title_short On the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
title_sort on the detectability of mis-modeled biases in the network-derived positioning corrections and their user impact
topic Science & Technology
Technology
Remote Sensing
Global navigation satellite systems (GNSS)
Integrity monitoring
Detection test statistics
Minimal detectable bias (MDB)
Kalman filtering
Network-derived corrections
AMBIGUITY RESOLUTION
INTEGRITY
url http://hdl.handle.net/20.500.11937/75694