Abstract: This article studies robust adaptive Kalman filtering and smoothing problems for the linear state-space model with heavy-tailed multiplicative (measurement) noise and additive (process and ...
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Abstract: The Gaussian particle filter (GPF) is a type of particle filter that employs the Gaussian filter approximation as the proposal distribution. However, the linearization errors are introduced ...