Hybrid state estimation: A target tracking application
type: Item
instance of: scholarly article
title: Hybrid state estimation: A target tracking application
zbMATH Open document ID: 1011.93537
DOI: 10.1016/S0005-1098(02)00184-X
author: Yvo Boers
author: Hans Driessen
published in: Automatica
publication date: 2003-02-13T00:00:00Z
review text: Here the authors present a framework allowing the formulation of the general hybrid filtering or state estimation problem, and they derive the optimal Bayesian solution to this problem. This solution is obtained `by fairly simple recursions', the recursions being numerically solvable by the use of a particle filter. The theory is illustrated by simulation of a radar target tracking problem.
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 93E11
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 1868210
zbMATH Keywords: nonlinear filtering
zbMATH Keywords: Bayesian filtering
zbMATH Keywords: Monte Carlo filtering
reviewed by: Andrew Dale
MaRDI profile type: Publication
cites work: Q4003647
cites work: Q4256460
cites work: Image-enhanced multiple model tracking
description: scientific article; zbMATH DE number 1868210