OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD

The problem of the synthesis of linear combined filter for the criterion of minimizing current losses on the basis of the recursive least squares method is being solved. This approach does not requirea priori knowledge of the statistical characteristics of impacts that is an advantage compared with...

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Main Authors: V. M. Artemiev, A. O. Naumov, L. L. Kokhan
Format: Article
Language:Russian
Published: National Academy of Sciences of Belarus, the United Institute of Informatics Problems 2016-09-01
Series:Informatika
Online Access:https://inf.grid.by/jour/article/view/2
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author V. M. Artemiev
A. O. Naumov
L. L. Kokhan
author_facet V. M. Artemiev
A. O. Naumov
L. L. Kokhan
author_sort V. M. Artemiev
collection DOAJ
description The problem of the synthesis of linear combined filter for the criterion of minimizing current losses on the basis of the recursive least squares method is being solved. This approach does not requirea priori knowledge of the statistical characteristics of impacts that is an advantage compared with the Kalman filter. A comparative evaluation of the filters’ accuracy is provided using the values of variances of the filtering errors.
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spelling doaj.art-1c5568841eb44b429bb76c432242b1d32025-03-05T13:56:39ZrusNational Academy of Sciences of Belarus, the United Institute of Informatics ProblemsInformatika1816-03012016-09-01018161OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHODV. M. Artemiev0A. O. Naumov1L. L. Kokhan2Институт прикладной физики НАН БеларусиИнститут прикладной физики НАН БеларусиИнститут прикладной физики НАН БеларусиThe problem of the synthesis of linear combined filter for the criterion of minimizing current losses on the basis of the recursive least squares method is being solved. This approach does not requirea priori knowledge of the statistical characteristics of impacts that is an advantage compared with the Kalman filter. A comparative evaluation of the filters’ accuracy is provided using the values of variances of the filtering errors.https://inf.grid.by/jour/article/view/2
spellingShingle V. M. Artemiev
A. O. Naumov
L. L. Kokhan
OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
Informatika
title OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
title_full OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
title_fullStr OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
title_full_unstemmed OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
title_short OPTIMAL LINEAR COMBINED FILTERING OF RANDOM SEQUENCES BASED ON THE RECURSIVE LEAST SQUARES METHOD
title_sort optimal linear combined filtering of random sequences based on the recursive least squares method
url https://inf.grid.by/jour/article/view/2
work_keys_str_mv AT vmartemiev optimallinearcombinedfilteringofrandomsequencesbasedontherecursiveleastsquaresmethod
AT aonaumov optimallinearcombinedfilteringofrandomsequencesbasedontherecursiveleastsquaresmethod
AT llkokhan optimallinearcombinedfilteringofrandomsequencesbasedontherecursiveleastsquaresmethod