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...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | English |
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SPRINGER HEIDELBERG
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/75694 |
| _version_ | 1848763531959205888 |
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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. |
| first_indexed | 2025-11-14T11:04:57Z |
| format | Journal Article |
| id | curtin-20.500.11937-75694 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T11:04:57Z |
| publishDate | 2019 |
| publisher | SPRINGER HEIDELBERG |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |