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Unbiased minimum-variance filtering for systems with randomly multi-step sensor delays
conference contributionposted on 04.09.2018, 00:00 authored by Y Zhang, Fuwen YangFuwen Yang, Qing-Long HanQing-Long Han
© 2014 IEEE.In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which effectively reduces the filter dimensions. A recursive algorithm for calculating the filter gain matrix is developed. The simulation results illustrate the effectiveness of the proposed method.