| 组合导航系统的加权数据融合算法 |
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| 引用本文： | 潘爽,徐彬,马林立.组合导航系统的加权数据融合算法[J].兵工自动化,2006,25(10):1-2. |
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| 作者姓名： | 潘爽 徐彬 马林立 |
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| 作者单位： | 海军潜艇学院,研究生队,山东,青岛,266071;海军潜艇学院,研究生队,山东,青岛,266071;海军潜艇学院,研究生队,山东,青岛,266071 |
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| 摘 要： | 单一导航传感器的不确定评定分为:对不确定度大的观测值赋予小的权值,对不确定度小的观测值赋予大的权.再根据组合不确定度最小的原则,采用拉格朗日乘数法进行加权值求解.最后,通过对双组合导航系统的加权数据融合,证明该法具有较高的融合精度,同时也为加权数据融合法的加权因子分配提供了较好的途径.
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| 关 键 词： | 组合导航系统 数据融合 动态不确定度 加权值 |
| 文章编号： | 1006-1576（2006）10-0001-02 |
| 收稿时间： | 2006-05-29 |
| 修稿时间： | 2006-07-14 |
Weight Data Fusion Algorithm for Combined Navigation System |
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| PAN Shuang,XU Bin,MA Lin-li.Weight Data Fusion Algorithm for Combined Navigation System[J].Ordnance Industry Automation,2006,25(10):1-2. |
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| Authors: | PAN Shuang XU Bin MA Lin-li |
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| Affiliation: | Brigade of Graduate, Naval Submarine Academy, Qingdao 266071, China |
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| Abstract: | The uncertainty evaluation for single navigation sensor includes giving the big uncertainty degree observation value with the small weight value and giving the small uncertainty degree observation value with the big weight value. Under the condition of minimum combined uncertainty, the weight values were calculates by the Lagrange method. At last, through the weight data fusion of combined navigation system, the simulation indicated the algorithm had a high fusion accuracy. The algorithm also provided better method with the weight factor distribution of weight data fusion method at the same time. |
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| Keywords: | Combined navigation system Data fusion Dynamic uncertainty degree Weight value |
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