| 一种自适应二次数据融合算法 |
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| 引用本文： | 肖龙远,曾超. 一种自适应二次数据融合算法[J]. 传感器与微系统, 2007, 26(4): 81-83 |
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| 作者姓名： | 肖龙远 曾超 |
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| 作者单位： | 中国工程物理研究院,电子工程研究所,四川绵阳,621900 |
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| 摘 要： | 针对多传感器测量数据,基于最小均方加权方法,提出了自适应计算各传感器测量方差的方法,并推导出了递推公式。结合灰色系统理论的绝对关联度定义,提出了基于自适应方法的二次数据融合算法,并给出了算法框图。最后,通过仿真计算验证了该算法的有效性。
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| 关 键 词： | 数据融合 最小均方加权 自适应 灰色系统理论 |
| 文章编号： | 1000-9787（2007）04-0081-03 |
| 收稿时间： | 2006-09-16 |
| 修稿时间： | 2006-09-16 |
Adaptive second data fusion algorithm |
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| XIA Long-yuan,ZENG Chao. Adaptive second data fusion algorithm[J]. Transducer and Microsystem Technology, 2007, 26(4): 81-83 |
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| Authors: | XIA Long-yuan ZENG Chao |
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| Affiliation: | Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, China |
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| Abstract: | To deal with multi-sensor measurement,based on the weighted least squares(WLSs)method,an adaptive algorithm to calculate each sensor's measurement variance is presented,and the recursion formula is deduced.Combining the definition of absolute correlation degree of the grey system theory,a second data fusion algorithm based on the adaptive method is presented,the algorithm bolck diagram is also presented.The efficiency of this algorithm is validated by the simulation. |
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| Keywords: | data fusion weighted least squares(WLSs) adaptive grey system theory |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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