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Optimal decentralized Kalman filter and Lainiotis filter

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Title: Optimal decentralized Kalman filter and Lainiotis filter
Authors: Assimakis, Nicholas1 assimakis@teilam.gr, Adam, Maria2 madam@ucg.gr, Koziri, Maria3 mkoziri@gmail.com, Voliotis, Stamatis4 svoliotis@teihal.gr, Asimakis, Konstantinos5 inshame@gmail.com
Source: Digital Signal Processing. Jan2013, Vol. 23 Issue 1, p442-452. 11p.
Subjects: Kalman filtering, Parallel processing, Computer input-output equipment, Estimation theory, Real-time computing, Computer simulation
Abstract: Abstract: A method to implement the optimal decentralized Kalman filter and the optimal decentralized Lainiotis filter is proposed; the method is based on the a priori determination of the optimal distribution of measurements into parallel processors, minimizing the computation time. The resulting optimal Kalman filter and optimal Lainiotis filter require uniform distribution or near to uniform distribution of measurements into parallel processors. The optimal uniform distribution has the advantages of elimination of idle time for the local processors and of low hardware cost, but it is not always applicable. The optimal filters present high parallelism speedup; this is verified through simulation results and is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time. [Copyright &y& Elsevier]
Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 83451689
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: Optimal decentralized Kalman filter and Lainiotis filter
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  Data: <searchLink fieldCode="AR" term="%22Assimakis%2C+Nicholas%22">Assimakis, Nicholas</searchLink><relatesTo>1</relatesTo><i> assimakis@teilam.gr</i><br /><searchLink fieldCode="AR" term="%22Adam%2C+Maria%22">Adam, Maria</searchLink><relatesTo>2</relatesTo><i> madam@ucg.gr</i><br /><searchLink fieldCode="AR" term="%22Koziri%2C+Maria%22">Koziri, Maria</searchLink><relatesTo>3</relatesTo><i> mkoziri@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Voliotis%2C+Stamatis%22">Voliotis, Stamatis</searchLink><relatesTo>4</relatesTo><i> svoliotis@teihal.gr</i><br /><searchLink fieldCode="AR" term="%22Asimakis%2C+Konstantinos%22">Asimakis, Konstantinos</searchLink><relatesTo>5</relatesTo><i> inshame@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Digital+Signal+Processing%22">Digital Signal Processing</searchLink>. Jan2013, Vol. 23 Issue 1, p442-452. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Kalman+filtering%22">Kalman filtering</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+processing%22">Parallel processing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+input-output+equipment%22">Computer input-output equipment</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
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  Data: Abstract: A method to implement the optimal decentralized Kalman filter and the optimal decentralized Lainiotis filter is proposed; the method is based on the a priori determination of the optimal distribution of measurements into parallel processors, minimizing the computation time. The resulting optimal Kalman filter and optimal Lainiotis filter require uniform distribution or near to uniform distribution of measurements into parallel processors. The optimal uniform distribution has the advantages of elimination of idle time for the local processors and of low hardware cost, but it is not always applicable. The optimal filters present high parallelism speedup; this is verified through simulation results and is very important due to the fact that, in most real-time applications, it is essential to obtain the estimate in the shortest possible time. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Digital Signal Processing is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.dsp.2012.08.005
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 442
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      – SubjectFull: Kalman filtering
        Type: general
      – SubjectFull: Parallel processing
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      – SubjectFull: Computer input-output equipment
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      – SubjectFull: Estimation theory
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      – SubjectFull: Real-time computing
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      – SubjectFull: Computer simulation
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      – TitleFull: Optimal decentralized Kalman filter and Lainiotis filter
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              Text: Jan2013
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