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Based on the multi-sensor optimal information fusion criterion weighted by matrice s in the linear minimum variance sense,using whi te noise estimators,an optimal fusion distributed Ka lman smoother is given for discrete multi-channel AR MA (autoregressive moving average) signals.The smoothing error cross-covariance matrices between any two sen sors are given for measurement noises.Furthermore,th e fusion smoother gives higher precision than any local smoother does.
Based on the multi-sensor optimal information fusion criterion weighted by matrice s in the linear minimum variance sense, using whi te noise estimators, an optimal fusion distributed Ka lman smoother is given for discrete multi-channel AR MA (autoregressive moving average) signals. The smoothing error cross-covariance matrices between any two sen sors are given for measurement noises.Furthermore, th e fusion smoother gives higher precision than any local smoother does.