| 自适应加权数据融合加权因子的动态调整 |
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| 引用本文： | 李莉,高冰.自适应加权数据融合加权因子的动态调整[J].战术导弹技术,2011(3):109-111. |
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| 作者姓名： | 李莉 高冰 |
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| 作者单位： | 92941部队; |
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| 摘 要： | 采用自适应加权数据融合算法，利用测量数据实时计算加权值，再利用加权值对测量数据进行融合处理，得到关于目标的状态估计．该算法充分反映测量数据的实时变化，实现最优加权因子的动态在线调整，融合结果的误差方差小于任一单一测量设备的测量误差方差．该方法采用递推计算，计算量小，具有较好的快速性，适合于实时计算应用，能够为设备选优、实时决策提供准确可靠的依据，较好的满足工程实际需要．
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| 关 键 词： | 数据融合 自适应加权 均方差 |
Real-time Adjustment of Weighting Factor in Adaptive Weighted Data Fusion |
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| Li Li,Gao Ging.Real-time Adjustment of Weighting Factor in Adaptive Weighted Data Fusion[J].Tactical Missile Technology,2011(3):109-111. |
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| Authors: | Li Li Gao Ging |
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| Affiliation: | Li Li,Gao Ging(Unit 92941,Huludao Liaoning125000,China) |
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| Abstract: | Adaptive weighted data fusion algorithm is used to weight measurement data real-timely,and then the obtained weights are used in measurement data fusion to evaluate the target status.The change of measurement data can be reflected real-timely by using this algorithm,and the weighting factor can be adjusted and optimized online in real time.The results show that the error square of the fusion result is lower than the error square of any single measurement equipment.This algorithm adopts recursion calculation... |
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| Keywords: | data fusion adaptive weight mean square deviation |
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