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| ����Ӧ������չKalman�����˲���������ϵ����е�Ӧ�� | |
| 引用本文： | 宫轶松,归庆明,李保利,王军江.����Ӧ������չKalman�����˲���������ϵ����е�Ӧ��[J].大地测量与地球动力学,2010,30(1):99-103. |
| 作者姓名： | 宫轶松 归庆明 李保利 王军江 |
| 作者单位： | 1. 解放军信息工程大学测绘学院,郑州,450052 2. 解放军信息工程大学理学院,郑州,450001 3. 61365部队,天津,300140 |
| 基金项目： | 国家自然科学基金(40974009,40474007) |
| 摘 要： | ???????????????????????????о????????????????????????????????????????Kalman??????????????÷??????????????????Kalman????????????????????????????????????????и????????????3???????????????顢???Kalman??????????????????????????????????????????Kalman?????????????????????????????? |
| 关 键 词： | ??????? ???????????? ???????? ???Kalman??? ?????? |
ADAPTIVE FADING EXTENDED KALMAN PARTICLE FILTERING APPLIED TO INTEGRATED NAVIGATION |
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| Gong Yisong,Gui Qingming,Li Baoli,Wang Junjiang.ADAPTIVE FADING EXTENDED KALMAN PARTICLE FILTERING APPLIED TO INTEGRATED NAVIGATION[J].Journal of Geodesy and Geodynamics,2010,30(1):99-103. | |
| Authors: | Gong Yisong Gui Qingming Li Baoli Wang Junjiang |
| Abstract: | In respect to the degradation of the weight existing in the particle filtering,from the point of view of the proposal distribution function,a new particle filtering method named the adaptive fading extended Kalman particle filtering is put forward.This method takes advantage of the adaptive fading extended Kalman filter to generate the proposal distribution function,and can adjust the parameter on line,which has better self adaptability and robustness.Compared with the common particle filtering methods whos... |
| Keywords: | particle filtering adaptive fading filtering forgetting factor extended Kalman filter integrated navigation |
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