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For the multisensor linear discrete time‐invariant stochastic systems with unknown noise variances, using the correlation method, the information fusion noise variance estimators with consistency are given by taking the average of the local noise variance estimators. Substituting them into two optimal weighted measurement fusion steady‐state Kalman filters, two new self‐tuning weighted measurement...
For Kalman filter-based data fusion in sensor networks, based on the weighted least squares (WLS) method, two distributed measurement fusion Kalman filtering algorithms are presented in terms of the average weighted measurements and the average inverse-covariance matrices, where the second algorithm is equivalent to the micro-Kalman filter (or mu-Kalman filter) derived from the centralized Kalman...
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