IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

Öz

IMPROVED EXACT DISTRIBUTED RLS ALGORITHM FOR DECENTRALIZED ESTIMATION OVER SENSOR NETWORKS

Anahtar Kelimeler

• sensor networks, distributed estimation, adaptive filter

Kaynakça

1. J. F. Chamberland and V. V. Veeravalli, “Wireless sensors in distributed detection applications,” IEEE signal processing magazine, vol. 24, pp, 16-25, May 2007.
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8. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''A diffusion RLS scheme for distributed estimation over adaptive networks,'' Proc. IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Helsinki, Finland, pp. 1-5, June 2007.

9. C. G. Lopes, and A. H. Sayed, ''Steadystate performance of adaptive diffusion least-mean squares,'' Proc. IEEE Workshop on Statistical Signal Processing (SSP), pp. 136-140, Madison, WI, August 2007.
10. C. G. Lopes and A. H. Sayed, ''Diffusion least-mean squares over adaptive networks: Formulation and performance analysis,'' to appear in IEEE Transactions on Signal Processing, 2008.
11. F. Cattivelli, C. G. Lopes, and A. H. Sayed, ''Diffusion recursive least-squares for distributed estimation over adaptive networks,'' IEEE Transactions on Signal Processing, Vol: 56, Issue 5, pp.1865 – 1877, May 2008. 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.
12. 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.