| 基于加权最小二乘法的异质传感器数据融合 |
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| 引用本文： | 焦竹青,熊伟丽,徐保国.基于加权最小二乘法的异质传感器数据融合[J].吉林大学学报(工学版),2010,40(3). |
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| 作者姓名： | 焦竹青 熊伟丽 徐保国 |
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| 作者单位： | 江南大学通信与控制工程学院,江苏,无锡,214122 |
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| 基金项目： | “863”国家高技术研究发展计划项目(2006AA10A301,2006AA10Z248);;江南大学博士研究生科学研究基金项目 |
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| 摘 要： | 针对异质传感器受限于测量噪声且数据融合结果精度较低的问题,提出了一种基于加权最小二乘法的数据融合新算法。在分析多传感器测量模型的基础上,依据最小二乘原理,推导出多个异质传感器对多个测量参数进行融合估计的加权融合公式,并得出了各传感器加权融合的权系数以及误差矢量的估计方差阵。通过与单传感器及平均估计的测量误差进行比较,证明了应用加权最小二乘数据融合的异质传感器具有较高的测量精度。数值示例与理论推导一致,进一步验证了所提方法的有效性。
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| 关 键 词： | 信息处理技术 异质传感器 数据融合 加权最小二乘 |
Dissimilar-sensor data fusion based on weighted least square |
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| JIAO Zhu-qing,XIONG Wei-li,XU Bao-guo.Dissimilar-sensor data fusion based on weighted least square[J].Journal of Jilin University:Eng and Technol Ed,2010,40(3). |
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| Authors: | JIAO Zhu-qing XIONG Wei-li XU Bao-guo |
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| Affiliation: | School of Communication and Control Engineering;Jiangnan University;Wuxi 214122;China |
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| Abstract: | To overcome the lower data fusion precision,which is caused by the restriction of noise measurement to dissimilar-sensor,a novel data fusion method based on weighted least square is proposed.The multi-sensor measurement model is analyzed.Then the weighted fusion formula is derived for parameter fusion estimation from multiple dissimilar-sensors,which is based on the principle of least square;and the scaling coefficients of weighted fusion of various sensors and estimated variances of erroneous vectors are o... |
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| Keywords: | information processing technology dissimilar-sensor data fusion weighted least square |
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