Multisensor estimation: New distributed algorithms

Multisensor estimation: New distributed algorithms

<p>The multisensor estimation problem is considered in this paper. New distributed algorithms, which are able to locally process the information and which deliver identical results to those generated by their centralized counterparts are presented. The algorithms can be used to provide robust...

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Bibliographic Details
Main Authors: Plataniotis K. N., Lainiotis D. G.
Format: Article
Language:English
Published: Hindawi Limited 1997-01-01
Series:Mathematical Problems in Engineering
Subjects:
estimation; data fusion; distributed algorithms; Kalman filter; Linear Lainiotis Filter
Online Access:http://www.hindawi.net/access/get.aspx?journal=mpe&volume=3&pii=S1024123X97000471
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spelling doaj-300e568aef2c41179c44dac85d7a20822020-11-25T00:36:43ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51471997-01-01312752Multisensor estimation: New distributed algorithmsPlataniotis K. N.Lainiotis D. G.<p>The multisensor estimation problem is considered in this paper. New distributed algorithms, which are able to locally process the information and which deliver identical results to those generated by their centralized counterparts are presented. The algorithms can be used to provide robust and computationally efficient solutions to the multisensor estimation problem. The proposed distributed algorithms are theoretically interesting and computationally attractive.</p> http://www.hindawi.net/access/get.aspx?journal=mpe&volume=3&pii=S1024123X97000471estimation; data fusion; distributed algorithms; Kalman filter; Linear Lainiotis Filter
collection DOAJ
language English
format Article
sources DOAJ
author Plataniotis K. N.
Lainiotis D. G.
spellingShingle Plataniotis K. N.
Lainiotis D. G.
Multisensor estimation: New distributed algorithms
Mathematical Problems in Engineering
estimation; data fusion; distributed algorithms; Kalman filter; Linear Lainiotis Filter
author_facet Plataniotis K. N.
Lainiotis D. G.
author_sort Plataniotis K. N.
title Multisensor estimation: New distributed algorithms
title_short Multisensor estimation: New distributed algorithms
title_full Multisensor estimation: New distributed algorithms
title_fullStr Multisensor estimation: New distributed algorithms
title_full_unstemmed Multisensor estimation: New distributed algorithms
title_sort multisensor estimation: new distributed algorithms
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 1997-01-01
description <p>The multisensor estimation problem is considered in this paper. New distributed algorithms, which are able to locally process the information and which deliver identical results to those generated by their centralized counterparts are presented. The algorithms can be used to provide robust and computationally efficient solutions to the multisensor estimation problem. The proposed distributed algorithms are theoretically interesting and computationally attractive.</p>
topic estimation; data fusion; distributed algorithms; Kalman filter; Linear Lainiotis Filter
url http://www.hindawi.net/access/get.aspx?journal=mpe&volume=3&pii=S1024123X97000471
work_keys_str_mv AT plataniotiskn multisensorestimationnewdistributedalgorithms
AT lainiotisdg multisensorestimationnewdistributedalgorithms
_version_ 1725303988573700096

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