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信息融合超前k步稳态最优Kalman预报器和Wiener预报器 被引量:1
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作者 高媛 王欣 +2 位作者 毛琳 梁佐江 邓自立 《黑龙江大学自然科学学报》 CAS 北大核心 2005年第3期346-349,共4页
应用Kalman滤波方法,基于Riccati方程,在线性最小方差信息融合准则下,提出了两传感器信息融合超前k步稳态最优Kalman预报器和Wiener预报器,给出了最优加权阵和最小融合误差方差阵.同单传感器情形相比,可提高预报精度.一个雷达跟踪系统... 应用Kalman滤波方法,基于Riccati方程,在线性最小方差信息融合准则下,提出了两传感器信息融合超前k步稳态最优Kalman预报器和Wiener预报器,给出了最优加权阵和最小融合误差方差阵.同单传感器情形相比,可提高预报精度.一个雷达跟踪系统的仿真例子说明了其有效性. 展开更多
关键词 信息融合状态估计 超前k步最优融合Kalman预报器 Wiener预报器 Kalman滤渡方法
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信息融合稳态最优Kalman平滑器 被引量:2
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作者 邓自立 高媛 +2 位作者 李云 崔崇信 白敬刚 《科学技术与工程》 2004年第3期172-175,共4页
应用Kalman滤波方法 ,基于Riccati方程 ,在线性最小方差最优融合准则下 ,提出了按矩阵加权的两传感器最优融合稳态Kalman平滑器 ,给出了最优加权阵和最小融合误差方差阵。同单传感器Kalman平滑器相比 ,可提高平滑精度。
关键词 信息融合状态估计 两传感器信息融合 最优融合Kalman平滑器 Kalman滤波方法 矩阵加权
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两传感器信息融合超前k步稳态最优Kalman预报器 被引量:3
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作者 邓自立 高媛 《科学技术与工程》 2004年第5期337-340,共4页
应用Kalman滤波方法 ,基于Riccati方程 ,对于带相关噪声的系统 ,在线性最小方差融合准则下 ,提出了两传感器按矩阵加权信息融合超前k步稳态最优Kalman预报器 ,给出了最优加权阵和最小融合预报误差方差阵的具体计算公式。同单传感器情形... 应用Kalman滤波方法 ,基于Riccati方程 ,对于带相关噪声的系统 ,在线性最小方差融合准则下 ,提出了两传感器按矩阵加权信息融合超前k步稳态最优Kalman预报器 ,给出了最优加权阵和最小融合预报误差方差阵的具体计算公式。同单传感器情形相比 ,可提高预报器的精度。 展开更多
关键词 两传感器信息融合 信息融合状态估计 超前K步最优融合Kalman预报器 Kalman滤波方法 矩阵加权
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The two-factor model of evaluating mining rights of coal resources based on options 被引量:2
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作者 张金锁 邹绍辉 师新民 《Journal of Coal Science & Engineering(China)》 2008年第2期321-325,共5页
MRCR could be regarded as a multi-stage compounding real option,based on option theory,assuming the convenience yield of coal reserves to be constant,built a one-factor model of valuating MRCR with the stochastic valu... MRCR could be regarded as a multi-stage compounding real option,based on option theory,assuming the convenience yield of coal reserves to be constant,built a one-factor model of valuating MRCR with the stochastic value of coal reserves.On the basis of our one-factor model,set up a two-factor model of evaluating MRCR assuming the convenience yield follows the mean-reverting process.When applied to valuate the MRCR of a coalmine,this model gives higher values than the one-factor model and the NPV.This is because the increase of convenience yield can improve the executive oppor- tunity of MRCR. 展开更多
关键词 coal resources mining rights real option stochastic convenience yield
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Applications of state estimation in multi-sensor information fusion for the monitoring of open pit mine slope deformation 被引量:1
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作者 付华 刘银平 肖健 《Journal of Coal Science & Engineering(China)》 2008年第2期317-320,共4页
The traditional open pit mine slope deformation monitoring system can not use the monitoring information coming from many monitoring points at the same time, can only using the monitoring data coming from a key monito... The traditional open pit mine slope deformation monitoring system can not use the monitoring information coming from many monitoring points at the same time, can only using the monitoring data coming from a key monitoring point,and that is to say it can only handle one-dimensional time series.Given this shortage in the monitoring, the multi-sensor information fusion in the state estimation techniques would be intro- duced to the slope deformation monitoring system,and by the dynamic characteristics of deformation slope,the open pit slope would be regarded as a dynamic goal,the condi- tion monitoring of which would be regarded as a dynamic target tracking.Distributed In- formation fusion technology with feedback was used to process the monitoring data and on this basis Klman filtering algorithms was introduced,and the simulation examples was used to prove its effectivenes. 展开更多
关键词 multi-sensor information fusion the side slope distortion the state estimation Klman filter algorithm
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