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基于统计理论的多传感器信息融合方法
引用本文:胡学骏,罗中良.基于统计理论的多传感器信息融合方法[J].传感器与微系统,2002,21(8):38-39,43.
作者姓名:胡学骏  罗中良
作者单位:佛山科学技术学院,自动化系,广东,佛山,528000
摘    要:多传感器信息融合技术引起了工业测量系统的改变 ,是智能仪表的发展方向。针对工业中干扰的特点 ,提出一种基于统计理论的信息融合方法 ,它采用高等数学的方法求解具有多变量约束条件的极值问题 ,从而得到最小方差的信息融合结果。以此方法可以提高系统的抗干扰能力和测量准确度 ,并通过实验测量进行了仿真以表明其正确、有效。

关 键 词:方差  信息融合  正态干扰  极值
文章编号:1000-9787(2002)08-0038-02

Method of multi-sensor information fusion based on statistics theory
HU Xue-jun,LUO Zhong-liang.Method of multi-sensor information fusion based on statistics theory[J].Transducer and Microsystem Technology,2002,21(8):38-39,43.
Authors:HU Xue-jun  LUO Zhong-liang
Abstract:Industrial measure system has been changed by the technology of multi-sensor information fusion, the technology is the develop direction of intelligent instrument.A method of information fusion based on statistics theory is given against the industrial disturbance and a mathematics method is used to analyse the extreme value on multi-variable bind station.The mini-variance of information fusion is given.By the use of information fusion,the anti-disturbance ability and measure precision is increased.The correct and the efficacious is proved by the emulation experment.
Keywords:variance  information fusion  normal disturbance  extreme value
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