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。
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.
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。
A new multi-sensor optimal information fusion criterion weighted by scalars is presented in the linear minimum variance sense.
给出一种基于噪声方差估计的稳健融合算法。
A robust fusion algorithm based on noise variance estimation is presented.
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