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IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

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Abstract (2. Language): 
In this paper we propose improved exact distributed recursive least-squares algorithm, (dRLS) for decentralized estimation over sensor networks. We consider a situation where there are a number of sensors with high observation noise (‘noisy sensors’) in the network. To deal with noisy sensors, first we show that when there are such sensors in the network, the performance of incremental dRLS algorithm drastically decreases; In addition, by detecting and ignoring these sensors better performance in a sense of estimation can be achieved. To address the problem of noisy sensors, we propose a new algorithm which consists of noisy sensors detection method and modified dRLS algorithm. As our simulation results show, the proposed method outperforms the dRLS algorithm in the same condition.
725-731

REFERENCES

References: 

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IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION
OVER SENSOR NETWORKS
Azam KHALILI, Amir RASTEGARNIA, Mohammad-Ali TINATI
731
IEEE Transactions on Signal Processing,
vol. 55, no. 8, pp. 4064-4077, August 2007.
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Azam Khalili was born in 1982 in Iran. He
received the B.S. degree from K.N Toosi
University of technology, Tehran Iran, and
the M.S. degree from the University of
Tabriz, Iran, in 2005 and 2007, respectively,
where she is currently pursuing the Ph.D.
degree in electrical engineering. Her current
research interests are statistical signal
processing, distributed adaptive estimation,
as well as speech processing.
Amir Rastegarnia was born in 1981 in
Iran. He received the B.S. degree and the
M.S. degree in electrical engineering from
the University of Tabriz, Iran, in 2004 and
2006, respectively, where he is currently
pursuing the Ph.D. degree in electrical
engineering. His current research interests
are theory and methods for adaptive and
statistical signal processing, distributed
adaptive estimation, as well as signal
processing for communications. He is an
IEEE student member.
Mohammad Ali Tinati was born in 1953 in
Iran. He received his B.S. degree (with high
honor) in 1977, his M.S. degree in 1978 from
Northeastern University, Boston, Mass, USA,
and his Ph.D. degree from Adelaide University,
Australia, in 1999. He had a long affiliation
with the University of Tabriz, Iran. He served
as an academic member of the Faculty of
Electrical Engineering since 1979. His main
research interests are biomedical signal
processing and speech and image processing.

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