Non-parametric variable step-size diffusion LMS algorithm over adaptive networks

Hongyu Han; Sheng Zhang; Hongbin Liang

doi:10.1049/el.2016.3828

Non-parametric variable step-size diffusion LMS algorithm over adaptive networks

Hongyu Han, Sheng Zhang, Hongbin Liang

Western Sydney University

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

To address the conflicting requirement of fast convergence rate and low misadjustment, a new non-parametric variable step-size diffusion least mean squares (LMS) (NPVSSDifLMS) algorithm is presented. The non-parametric variable step-size scheme is obtained to cancel the influence of noise signals in the intermediate posteriori errors at every node. Simulation results show that this NPVSSDifLMS algorithm outperforms the DifLMS and VSSDifLMS algorithms.

Original language	English
Pages (from-to)	768-770
Number of pages	2
Journal	Electronics Letters
Volume	53
Issue number	12
DOIs	https://doi.org/10.1049/el.2016.3828
Publication status	Published - 2017

Keywords

algorithms
computer networks
convergence (telecommunication)
least squares
signal processing

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10.1049/el.2016.3828

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title = "Non-parametric variable step-size diffusion LMS algorithm over adaptive networks",

abstract = "To address the conflicting requirement of fast convergence rate and low misadjustment, a new non-parametric variable step-size diffusion least mean squares (LMS) (NPVSSDifLMS) algorithm is presented. The non-parametric variable step-size scheme is obtained to cancel the influence of noise signals in the intermediate posteriori errors at every node. Simulation results show that this NPVSSDifLMS algorithm outperforms the DifLMS and VSSDifLMS algorithms.",

keywords = "algorithms, computer networks, convergence (telecommunication), least squares, signal processing",

author = "Hongyu Han and Sheng Zhang and Hongbin Liang",

year = "2017",

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pages = "768--770",

journal = "Electronics Letters",

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T1 - Non-parametric variable step-size diffusion LMS algorithm over adaptive networks

AU - Han, Hongyu

AU - Zhang, Sheng

AU - Liang, Hongbin

PY - 2017

Y1 - 2017

N2 - To address the conflicting requirement of fast convergence rate and low misadjustment, a new non-parametric variable step-size diffusion least mean squares (LMS) (NPVSSDifLMS) algorithm is presented. The non-parametric variable step-size scheme is obtained to cancel the influence of noise signals in the intermediate posteriori errors at every node. Simulation results show that this NPVSSDifLMS algorithm outperforms the DifLMS and VSSDifLMS algorithms.

AB - To address the conflicting requirement of fast convergence rate and low misadjustment, a new non-parametric variable step-size diffusion least mean squares (LMS) (NPVSSDifLMS) algorithm is presented. The non-parametric variable step-size scheme is obtained to cancel the influence of noise signals in the intermediate posteriori errors at every node. Simulation results show that this NPVSSDifLMS algorithm outperforms the DifLMS and VSSDifLMS algorithms.

KW - algorithms

KW - computer networks

KW - convergence (telecommunication)

KW - least squares

KW - signal processing

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:41273

U2 - 10.1049/el.2016.3828

DO - 10.1049/el.2016.3828

M3 - Article

VL - 53

SP - 768

EP - 770

JO - Electronics Letters

JF - Electronics Letters

IS - 12

ER -

Non-parametric variable step-size diffusion LMS algorithm over adaptive networks

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Keywords

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