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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khanafseh, S. Langel, S. Pervan, B. |
| Copyright Year | 2010 |
| Description | Author affiliation: Illinois Institute of Technology, Chicago, USA (Khanafseh, S.; Langel, S.; Pervan, B.) |
| Abstract | In this paper, a methodology is developed to overbound the error in position estimation for carrier phase navigation systems subject to multipath error mis-modeling. In high accuracy and high integrity applications, carrier phase positioning systems with cycle resolution usually rely on time-filtering, in many cases using Kalman filters. Naturally, for a computed integrity risk to be meaningful, it must be guaranteed that the predicted state estimation error covariance always bounds the true covariance. The Kalman filter ensures state error covariance bounding provided that the measurement errors and system dynamics are accurately modeled. However, uncertainties in the dynamic model of the multipath error states always exist. In response, the focus of this work is to quantify and bound position estimate errors subject to uncertainties associated with the time correlation of multipath error. |
| Starting Page | 575 |
| Ending Page | 584 |
| File Size | 847042 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424450367 |
| ISSN | 21533598 |
| DOI | 10.1109/PLANS.2010.5507313 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Noise measurement Navigation Measurement errors Global Positioning System Colored noise Least squares approximation Estimation error Phase estimation State estimation Overboudning Robust Estimation Multipath Model Kalman Filter Modeling Uncertainity |
| Content Type | Text |
| Resource Type | Article |
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