Diffusion recursive least-squares for distributed estimation over adaptive networks

We study the problem of distributed estimation over adaptive networks where a collection of nodes are required to estimate in a collaborative manner some parameter of interest from their measurements. The centralized solution to the problem uses a fusion center, thus, requiring a large amount of ene...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 56; no. 5; pp. 1865 - 1877
Main Authors:	Cattivelli, F.S., Lopes, C.G., Sayed, A.H.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive networks Adaptive systems Algorithm design and analysis Algorithms Applied sciences Collaboration consensus cooperation Detection, estimation, filtering, equalization, prediction Diffusion distributed estimation Distributed processing Estimates Exact sciences and technology Information, signal and communications theory Inversions Least squares method Matrices Network topology Networks Performance analysis Recursive Recursive estimation Resonance light scattering Signal and communications theory Signal processing algorithms Signal, noise Telecommunications and information theory Time measurement Performance evaluation distributed estimation Parameter estimation diffusion Adaptive system Recursive algorithm Adaptive networks consensus Distributed processing Least squares method Recursive method Communication complexity cooperation
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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