Optimal estimation for multisensor data fusion system with correlated measurement noise

Based on the matrix theory, the covariance matrix of correlated measurement noise is successfully parallel decomposed and the linear observation models are transformed to new observation models. Then optimal data fusion estimation algorithms are presented. When measurement noise is uncorrelated, the results are reduced to the optimal algorithms with uncorrelated measurement noise.