Unbiased FIR, Kalman, and game theory H∞ filtering under bernoulli distributed random delays and packet dropouts

It is known that due to uncertain delays and missing data wireless sensor networks (WSNs) may incur a significant loss in performance. In this work, we solve the problem in discrete-time state-space by developing the unbiased finite impulse response (UFIR) filter, Kalman filter (KF), and game theory...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 442; pp. 89 - 97
Main Authors:	Uribe-Murcia, Karen, Shmaliy, Yuriy S., Andrade-Lucio, José A.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 28.06.2021
Subjects:	Bernoulli distribution Delayed data Packet dropouts Unbiased FIR filter Bernoulli distribution Delayed data Packet dropouts Unbiased FIR filter
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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