Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
Proposes to measure the wrist force using the data fusion method according to output variance of finger force sensors on the gripper.
提出根据手爪上的多个指力传感器的输出变化，通过数据融合方法得到腕力的数值。
A new multi-sensor optimal information fusion criterion weighted by scalars is presented in the linear minimum variance sense.
提出一种新的标量加权多传感器线性最小方差意义下的最优信息融合准则。
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