Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model

IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
IEEE Transactions On Signal Processing, 2010, 58 (2), pp. 477 - 489
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For nonlinear state space model involving random variables with arbitrary probability distributions, the state estimation given a sequence of observations is based on an appropriate criterion such as the minimum mean square error (MMSE). This leads to li
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