| 组合导航非等间隔联合滤波 |
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| 引用本文： | 黄显林,卢鸿谦,王宇飞. 组合导航非等间隔联合滤波[J]. 中国惯性技术学报, 2002, 10(3): 1-7 |
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| 作者姓名： | 黄显林 卢鸿谦 王宇飞 |
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| 作者单位： | 哈尔滨工业大学控制科学与工程系,哈尔滨,150001 |
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| 基金项目： | 国防基金资助项目(99J9.2.2HT0116) |
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| 摘 要： | 组合导航系统中各种导航设备数据更新频率的不同会导致联合滤波算法无法在每个计算周期都融合局部滤波器的信息，从而导致信息丢失和引入人为误差。为此提出了一种可以最优融合不同测量周期信息的非等间隔联合滤波算法，并且给出了算法的最优性证明。这种算法通过设定不同的计算周期和融合周期，实现了非等间隔测量信息的最优融合。
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| 关 键 词： | 联合卡尔曼滤波 信息融合 非等间隔滤波 组合导航 |
| 文章编号： | 1005-6734(2002)03-0001-07 |
| 修稿时间： | 2002-03-09 |
Incoordinate Interval Federated Filtering of Integrated Navigation |
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| HUANG Xian-lin,LU Hong-qian,WANG Yu-fei. Incoordinate Interval Federated Filtering of Integrated Navigation[J]. Journal of Chinese Inertial Technology, 2002, 10(3): 1-7 |
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| Authors: | HUANG Xian-lin LU Hong-qian WANG Yu-fei |
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| Abstract: | Different data update rate of various navigation devices in integrated navigation systemmay not make the federated filter infuse local information at every cycles, hence may lossinformation and induce factitious errors. An incoordinate interval federated filtering algorithm is proposed in this paper, which may optimally integrate measurements of different update rate, and the proving of its optimality is also given. The proposed algorithm can realize the optimal fusion ofincoordinate interval information through the setup of different computing and fusion periods. |
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| Keywords: | federated Kalman filtering information fusion incoordinate interval filtering integrated navigation |
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