Robust Kalman Fusion Filter with Unknown Model Parameter Based on Instrumental Variables Method

The aim of this paper is to apply instrumental variable method to estimate state and parameter in multi-sensor system which contains uncertainties. Based on Kalman filter and matrix weighted fusion rules, accurate state result can be achieved and utilized to estimate the unknown parameters. An numerical example is verified the efficiency of the proposed algorithm.
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