Quality control in integrated navigation systems
| dc.contributor.author | Teunissen, Peter | |
| dc.date.accessioned | 2017-01-30T15:15:54Z | |
| dc.date.available | 2017-01-30T15:15:54Z | |
| dc.date.created | 2011-11-18T03:03:18Z | |
| dc.date.issued | 1990 | |
| dc.identifier.citation | Teunissen, P.J.G. 1990. Quality control in integrated navigation systems. IEEE Aerospace and Electronic Systems Magazine. 7 (5): pp. 35-41. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/44715 | |
| dc.description.abstract |
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. | |
| dc.language | en | |
| dc.title | Quality control in integrated navigation systems | |
| dc.type | Journal Article | |
| curtin.department | Department of Spatial Sciences | |
| curtin.accessStatus | Fulltext not available |