碩士 / 國立臺灣海洋大學 / 導航與通訊系 / 93 / The Kalman filter provides optimal estimate of the system state vector (in terms of minimum mean square error) and has been successfully applied to fields of integrated navigation system designs.
In practice, while employed as the navigational state estimator, the Kalman filter attempts to minimize the variance of the estimation errors and will provide optimal solution if the system dynamics and noise statistics for both the measurement and the system process are completely known. However, in the real world, they are varying with time, which results in filtering performance degradation. There are many recent advances in the area of robust control. A concept of the robustness has developed in the last years. Beside Kalman filtering, two of the robust filtering approaches are conducted for designing the integration navigation system.
In this thesis, DR/DME navigation solutions using the Kalman filtering, robust Kalman filtering and filtering approach is conducted and the resulting performance is discussed.
| Identifer | oai:union.ndltd.org:TW/093NTOU5300022 |
| Date | January 2005 |
| Creators | Mao-Shiang Yeh, 葉茂相 |
| Contributors | Dah-Jing Jwo, 卓大靖 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 84 |
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