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| 引用本文： | 李保利,宫轶松,张锦军,李启高.????ERTS???????????????????????·???[J].大地测量与地球动力学,2010,30(2):152-155. |
| 作者姓名： | 李保利 宫轶松 张锦军 李启高 |
| 作者单位： | 1. 解放军信息工程大学测绘学院,郑州,450052;总参测绘局,北京,100088 2. 解放军信息工程大学测绘学院,郑州,450052 3. 92493部队22分队,葫芦岛,125000 4. 黄河水利委员会三门峡库区水文水资源局,三门峡,472000 |
| 摘 要： | ???????μ???????????????????????????Kalman???????Rauch??Tung??Streibel (RTS)??????????????????????????????????????????Kalman???????????????????????????????????÷???????????????????????????????????и???????????????GPS/DR?????????????飬?????÷???????Ч??? |
| 关 键 词： | ????????? ??????? ???Kalman??? RTS?????????? GPS/DR?????? |
PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING |
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| Li Baoli,Gong Yisong,Zhang Jinjun,Li Qigao.PARTICLE FILTERING METHOD BASED ON PROPOSAL DISTRIBUTION FUNCTION OF ERTS SMOOTHING[J].Journal of Geodesy and Geodynamics,2010,30(2):152-155. | |
| Authors: | Li Baoli Gong Yisong Zhang Jinjun Li Qigao |
| Institution: | 1)Institute of Surveying and Mapping, PLA Information Engineering University, Zhengzhou 4500522)Bureau of Surveying and Mapping of General Staff, Beijing 1000883) Branch 22 of Troop 92493, Huludao 1250004) Bureau of Hydrology and Resource of Sanmenxia Reservoir Area of YRCC, Sanmenxia 472000 |
| Abstract: | As it is quite important to choose a reasonable proposal distribution function for the particle filtering,a new proposal distribution function is designed. This scheme fuses the extended Kalman filter and the RTS fixed interval smoothing to generate the proposal distribution function. Compared to the particle filtering with only the proposal distribution function of extended Kalman filter, this method can give more accurate estimation results, and make the system more robust. An experiment for the GPS/DR integrated simulation system validates the effectiveness of the new approach. |
| Keywords: | nonlinear estimation particle filtering extended Kalman filter RTS fixed-interval smoothing GPS/DR integrated navigation |
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