Bayesian filtering with unknown sensor measurement losses

This paper studies the state estimation problem of a stochastic nonlinear system with unknown sensor measurement losses. If the estimator knows the sensor measurement losses of a linear Gaussian system, the minimum variance estimate is easily computed by the celebrated intermittent Kalman filter (IK...

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Bibliographic Details
Main Authors: Zhang, Jiaqi, You, Keyou, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/145323
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Institution: Nanyang Technological University
Language: English