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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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Optimal decentralized Kalman filter and Lainiotis filter

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Author
Assimakis, N.; Adam, M.; Koziri, M.; Voliotis, S.; Asimakis, K.
Date
2013
DOI
10.1016/j.dsp.2012.08.005
Keyword
Kalman filter
Lainiotis filter
Discrete time
Decentralized
algorithms
Analysis of algorithms
Optimization
OPTIMAL SEISMIC DECONVOLUTION
AD-HOC WSNS
DISTRIBUTED ALGORITHMS
ADAPTIVE ESTIMATION
LINEAR-ESTIMATION
RICCATI EQUATION
NOISY LINKS
CONSENSUS
NETWORKS
TRACKING
Engineering, Electrical & Electronic
Metadata display
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. (C) 2012 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/11615/25969
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [9735]
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Η δικτυακή πύλη της Ευρωπαϊκής Ένωσης
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ΕΣΠΑ 2007-2013