| タイトル | Determination of instrumentation errors from measured data using maximum likelihood method |
| 著者（英） | Klein, V.; Keskar, D. A. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 1980-01-01 |
| 言語 | eng |
| 内容記述 | The maximum likelihood method is used for estimation of unknown initial conditions, constant bias and scale factor errors in measured flight data. The model for the system to be identified consists of the airplane six-degree-of-freedom kinematic equations, and the output equations specifying the measured variables. The estimation problem is formulated in a general way and then, for practical use, simplified by ignoring the effect of process noise. The algorithm developed is first applied to computer generated data having different levels of process noise for the demonstration of the robustness of the method. Then the real flight data are analyzed and the results compared with those obtained by the extended Kalman filter algorithm. |
| NASA分類 | NUMERICAL ANALYSIS |
| レポートNO | 80A45895
AIAA PAPER 80-1602 |
| 権利 | Copyright |
| URI | https://repository.exst.jaxa.jp/dspace/handle/a-is/420755 |
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