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| Content Provider | Springer Nature Link |
|---|---|
| Author | Wang, Qianxin Chang, Guobin Wang, Yunjia |
| Copyright Year | 2015 |
| Abstract | A robust Kalman filter based on Chi square test with sequential measurement update is proposed. This approach can not only handle outliers in part or even individual measurement channel, but can also further improve the accuracy especially when a novel ordering strategy in processing the measurement elements is adopted. The accuracy improvement can be attributed to the higher statistical efficiency, i.e., an increased probability of correctly resisting the outlying measurement elements and retaining the good ones. The accuracy improvement of the proposed method is illustrated by a simulating example. |
| Starting Page | 421 |
| Ending Page | 433 |
| Page Count | 13 |
| File Format | |
| ISSN | 22135812 |
| Journal | Acta Geodaetica et Geophysica Hungarica |
| Volume Number | 51 |
| Issue Number | 3 |
| e-ISSN | 22135820 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2015-07-17 |
| Publisher Institution | Quarterly of the Hungarian Academy of Sciences |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Statistical efficiency Robust Kalman filter Sequential measurement update Geophysics/Geodesy Chi square test |
| Content Type | Text |
| Resource Type | Article |
| Subject | Building and Construction Geology Geophysics |
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