Noise constrained diffusion least mean squares over adaptive networks

Muhammad Omer Bin Saeed; Azzedine Zerguine; Salam A. Zummo

doi:10.1109/PIMRC.2010.5671837

Noise constrained diffusion least mean squares over adaptive networks

Muhammad Omer Bin Saeed
, Azzedine Zerguine
, Salam A. Zummo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained Diffusion LMS algorithm has been included. Simulation results show that the new algorithm outperforms the existing Diffusion LMS algorithm as well as its Incremental counterpart.

Original language	English
Title of host publication	2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages	288-292
Number of pages	5
DOIs	https://doi.org/10.1109/PIMRC.2010.5671837
State	Published - 2010

Publication series

Name	IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Keywords

Adaptive filters
Adaptive networks
Diffusion
Noise constrained algorithms

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/PIMRC.2010.5671837

Cite this

Saeed, M. O. B., Zerguine, A., & Zummo, S. A. (2010). Noise constrained diffusion least mean squares over adaptive networks. In 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 (pp. 288-292). Article 5671837 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC). https://doi.org/10.1109/PIMRC.2010.5671837

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title = "Noise constrained diffusion least mean squares over adaptive networks",

abstract = "This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained Diffusion LMS algorithm has been included. Simulation results show that the new algorithm outperforms the existing Diffusion LMS algorithm as well as its Incremental counterpart.",

keywords = "Adaptive filters, Adaptive networks, Diffusion, Noise constrained algorithms",

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year = "2010",

doi = "10.1109/PIMRC.2010.5671837",

language = "English",

isbn = "9781424480166",

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booktitle = "2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010",

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Saeed, MOB, Zerguine, A & Zummo, SA 2010, Noise constrained diffusion least mean squares over adaptive networks. in 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010., 5671837, IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, pp. 288-292. https://doi.org/10.1109/PIMRC.2010.5671837

Noise constrained diffusion least mean squares over adaptive networks. / Saeed, Muhammad Omer Bin; Zerguine, Azzedine ; Zummo, Salam A.
2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010. 2010. p. 288-292 5671837 (IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained Diffusion LMS algorithm has been included. Simulation results show that the new algorithm outperforms the existing Diffusion LMS algorithm as well as its Incremental counterpart.

AB - This paper presents the design of a new diffusion algorithm over adaptive networks. The algorithm assumes knowledge of variance of additive noise. The design is based on the Noise-Constrained Least-Mean Squares (LMS) Algorithm and the new algorithm becomes a type of variable step-size algorithm for which the step-size variation rule results directly from the constraint. The design of the Noise-Constrained Diffusion LMS algorithm has been included. Simulation results show that the new algorithm outperforms the existing Diffusion LMS algorithm as well as its Incremental counterpart.

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BT - 2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010

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Noise constrained diffusion least mean squares over adaptive networks

Abstract

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Keywords

ASJC Scopus subject areas

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