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

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...

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Bibliographic Details
Published in:	Electronics letters Vol. 53; no. 12; pp. 768 - 770
Main Authors:	Han, Hongyu, Zhang, Sheng, Liang, Hongbin
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 08.06.2017
Subjects:	adaptive network Circuits and systems DifLMS algorithm intermediate posteriori error least mean squares methods noise signal influence nonparametric variable step‐size diffusion LMS algorithm NPVSSDifLMS algorithm signal processing VSSDifLMS algorithm intermediate posteriori error least mean squares methods signal processing DifLMS algorithm nonparametric variable step-size diffusion LMS algorithm VSSDifLMS algorithm adaptive network NPVSSDifLMS algorithm noise signal influence
ISSN:	0013-5194, 1350-911X, 1350-911X
Online Access:	Get full text
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Summary:	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.
ISSN:	0013-5194 1350-911X 1350-911X
DOI:	10.1049/el.2016.3828