Diffusion LMS Strategies for Distributed Estimation

Federico S. Cattivelli; Ali H. Sayed

doi:https://doi.org/10.1109/tsp.2009.2033729

doi.org/10.1109/tsp.2009.2033729

Diffusion LMS Strategies for Distributed Estimation

Federico S. Cattivelli

13

,

Ali H. Sayed

67

IEEE Transactions on Signal Processing5.40

Volume: 58, Issue: 3, Pages: 1035 - 1048

Published: Mar 1, 2010

Abstract

We consider the problem of distributed estimation, where a set of nodes is required to collectively estimate some parameter of interest from noisy measurements. The problem is useful in several contexts including wireless and sensor networks, where scalability, robustness, and low power consumption are desirable features. Diffusion cooperation...

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Paper Details

Title

Diffusion LMS Strategies for Distributed Estimation

DOI

doi.org/10.1109/tsp.2009.2033729

Published Date

Mar 1, 2010

Journal

IEEE Transactions on Signal Processing

Volume

58

Issue

3

Pages

1035 - 1048

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