Distributed Periodic Steady State Kalman Filter

In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is...

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Main Authors: Assimakis, N., Adam, M., Massouros, C.
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
North Atlantic
Online Access:https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3034862
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spelling ftnkunivathens:oai:lib.uoa.gr:uoadl:3034862 2024-02-11T10:06:12+01:00 Distributed Periodic Steady State Kalman Filter Assimakis, N. Adam, M. Massouros, C. 2022-01-01 https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3034862 Αγγλικά English eng uoadl:3034862 https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3034862 scientific_publication_article Επιστημονική δημοσίευση - Άρθρο Περιοδικού Scientific publication - Journal Article 2022 ftnkunivathens 2024-01-18T18:38:00Z In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived. The Finite Impulse Response (FIR) form of the periodic steady state Kalman filter is derived. © 2022, North Atlantic University Union NAUN. All rights reserved. Article in Journal/Newspaper North Atlantic Pergamos - Library and Information Center of National and Kapodistrian University of Athens
institution Open Polar
collection Pergamos - Library and Information Center of National and Kapodistrian University of Athens
op_collection_id ftnkunivathens
language English
description In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived. The Finite Impulse Response (FIR) form of the periodic steady state Kalman filter is derived. © 2022, North Atlantic University Union NAUN. All rights reserved.
format Article in Journal/Newspaper
author Assimakis, N.
Adam, M.
Massouros, C.
spellingShingle Assimakis, N.
Adam, M.
Massouros, C.
Distributed Periodic Steady State Kalman Filter
author_facet Assimakis, N.
Adam, M.
Massouros, C.
author_sort Assimakis, N.
title Distributed Periodic Steady State Kalman Filter
title_short Distributed Periodic Steady State Kalman Filter
title_full Distributed Periodic Steady State Kalman Filter
title_fullStr Distributed Periodic Steady State Kalman Filter
title_full_unstemmed Distributed Periodic Steady State Kalman Filter
title_sort distributed periodic steady state kalman filter
publishDate 2022
url https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3034862
genre North Atlantic
genre_facet North Atlantic
op_relation uoadl:3034862
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3034862
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