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A Novel Bayesian Filtering Method for Systems with Quantized Output Data | IEEE Conference Publication | IEEE Xplore

A Novel Bayesian Filtering Method for Systems with Quantized Output Data


Abstract:

In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariant systems with quantized output data. We take a Bayesian approach, there...Show More

Abstract:

In this paper we develop a novel scheme for state estimation of discrete-time linear time-invariant systems with quantized output data. We take a Bayesian approach, therefore, we describe the behavior of the a posteriori probability density function of the state. The difficulty of this problem lies in the probability function of the measurable output given the state, which we approach through an approximation by a Gaussian sum, that naturally leads to a Gaussian sum for the a posteriori density function.
Date of Conference: 13-27 November 2019
Date Added to IEEE Xplore: 10 February 2020
ISBN Information:
Conference Location: Valparaiso, Chile