Quality control in integrated navigation systems
Real-time estimation of parameters in dynamic systems becomes increasingly important in the field of high precision navigation. The real-time estimation inevitably requires real-time testing of the models underlying the navigation system. This paper presents: 1. A real-time recursive testing procedu...
| Main Author: | |
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| Format: | Journal Article |
| Language: | English |
| Published: |
1990
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| Online Access: | http://hdl.handle.net/20.500.11937/44715 |
| _version_ | 1848757081336709120 |
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| author | Teunissen, Peter |
| author_facet | Teunissen, Peter |
| author_sort | Teunissen, Peter |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Real-time estimation of parameters in dynamic systems becomes increasingly important in the field of high precision navigation. The real-time estimation inevitably requires real-time testing of the models underlying the navigation system. This paper presents: 1. A real-time recursive testing procedure that can be used in conjunction with the well-known Kalman filter algorithm: 2. Diagnostic tools for inferring the detectability of particular model errors. The testing procedure consists of three steps: detection, identification and adaptation. It can accomodate model errors in both the measurement model and dynamic model of the integrated navigation system. The tests proposed are optimal in the uniformly-most-powerful-invariant sense. |
| first_indexed | 2025-11-14T09:22:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-44715 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T09:22:25Z |
| publishDate | 1990 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-447152017-01-30T15:15:54Z Quality control in integrated navigation systems Teunissen, Peter Real-time estimation of parameters in dynamic systems becomes increasingly important in the field of high precision navigation. The real-time estimation inevitably requires real-time testing of the models underlying the navigation system. This paper presents: 1. A real-time recursive testing procedure that can be used in conjunction with the well-known Kalman filter algorithm: 2. Diagnostic tools for inferring the detectability of particular model errors. The testing procedure consists of three steps: detection, identification and adaptation. It can accomodate model errors in both the measurement model and dynamic model of the integrated navigation system. The tests proposed are optimal in the uniformly-most-powerful-invariant sense. 1990 Journal Article http://hdl.handle.net/20.500.11937/44715 en restricted |
| spellingShingle | Teunissen, Peter Quality control in integrated navigation systems |
| title | Quality control in integrated navigation systems |
| title_full | Quality control in integrated navigation systems |
| title_fullStr | Quality control in integrated navigation systems |
| title_full_unstemmed | Quality control in integrated navigation systems |
| title_short | Quality control in integrated navigation systems |
| title_sort | quality control in integrated navigation systems |
| url | http://hdl.handle.net/20.500.11937/44715 |