Fusion Kalman filtration with k-step delay sharing pattern

A fusion hierarchical state filtration with k−step delay sharing pattern for a multisensor system is considered. A global state estimate depends on local state estimates determined by local nodes using local information. Local available information consists of local measurements and k−step delay glo...

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Main Author: Duda Zdzisław
Format: Article
Language:English
Published: Polish Academy of Sciences 2015-09-01
Series:Archives of Control Sciences
Subjects:
Online Access:http://www.degruyter.com/view/j/acsc.2015.25.issue-3/acsc-2015-0020/acsc-2015-0020.xml?format=INT
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author Duda Zdzisław
author_facet Duda Zdzisław
author_sort Duda Zdzisław
collection DOAJ
description A fusion hierarchical state filtration with k−step delay sharing pattern for a multisensor system is considered. A global state estimate depends on local state estimates determined by local nodes using local information. Local available information consists of local measurements and k−step delay global information - global estimate sent from a central node. Local estimates are transmitted to the central node to be fused. The synthesis of local and global filters is presented. It is shown that a fusion filtration with k−step delay sharing pattern is equivalent to the optimal centralized classical Kalman filtration when local measurements are transmitted to the center node and used to determine a global state estimate. It is proved that the k−step delay sharing pattern can reduce covariances of local state errors.
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spelling doaj.art-16dcadcc74a34ca39183cecc8fc028112022-12-21T18:38:10ZengPolish Academy of SciencesArchives of Control Sciences2300-26112015-09-0125330731810.1515/acsc-2015-0020acsc-2015-0020Fusion Kalman filtration with k-step delay sharing patternDuda Zdzisław0Institute of Automatic Control, Silesian Technical University, ul. Akademicka 16, 44-101 Gliwice, PolandA fusion hierarchical state filtration with k−step delay sharing pattern for a multisensor system is considered. A global state estimate depends on local state estimates determined by local nodes using local information. Local available information consists of local measurements and k−step delay global information - global estimate sent from a central node. Local estimates are transmitted to the central node to be fused. The synthesis of local and global filters is presented. It is shown that a fusion filtration with k−step delay sharing pattern is equivalent to the optimal centralized classical Kalman filtration when local measurements are transmitted to the center node and used to determine a global state estimate. It is proved that the k−step delay sharing pattern can reduce covariances of local state errors.http://www.degruyter.com/view/j/acsc.2015.25.issue-3/acsc-2015-0020/acsc-2015-0020.xml?format=INTfusion Kalman filtrationmultisensor systemk− step delay sharing pattern.
spellingShingle Duda Zdzisław
Fusion Kalman filtration with k-step delay sharing pattern
Archives of Control Sciences
fusion Kalman filtration
multisensor system
k− step delay sharing pattern.
title Fusion Kalman filtration with k-step delay sharing pattern
title_full Fusion Kalman filtration with k-step delay sharing pattern
title_fullStr Fusion Kalman filtration with k-step delay sharing pattern
title_full_unstemmed Fusion Kalman filtration with k-step delay sharing pattern
title_short Fusion Kalman filtration with k-step delay sharing pattern
title_sort fusion kalman filtration with k step delay sharing pattern
topic fusion Kalman filtration
multisensor system
k− step delay sharing pattern.
url http://www.degruyter.com/view/j/acsc.2015.25.issue-3/acsc-2015-0020/acsc-2015-0020.xml?format=INT
work_keys_str_mv AT dudazdzisław fusionkalmanfiltrationwithkstepdelaysharingpattern