Robust diffusion average strategy over distributed networks with impulsive link noise

Zhao Zhang; Sheng Zhang; Wei Xing Zheng

doi:10.1109/ISCAS48785.2022.9937697

Robust diffusion average strategy over distributed networks with impulsive link noise

Zhao Zhang, Sheng Zhang, Wei Xing Zheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

In this paper, a robust diffusion average-estimate normalized least mean square (NLMS) algorithm is proposed to tackle the impulsive noise in adjacent node communication links over distributed networks. Compared with the diffusion NLMS algorithm, the key point of the new algorithm is that it introduces two additional steps: robust detection and average estimation, thus greatly reducing the negative effects of the impulsive link noise. In addition, the mean stability of the proposed robust diffusion average-estimate NLMS algorithm is analyzed. Finally, Monte-Carlo simulation results demonstrate the effectiveness of the proposed robust diffusion algorithm.

Original language	English
Title of host publication	Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA
Publisher	IEEE
Pages	2594-2598
Number of pages	5
ISBN (Print)	9781665484862
DOIs	https://doi.org/10.1109/ISCAS48785.2022.9937697
Publication status	Published - 2022
Event	IEEE International Symposium on Circuits and Systems - Duration: 1 Jan 2022 → …

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	1/01/22 → …

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10.1109/ISCAS48785.2022.9937697

Cite this

@inproceedings{43dd0c67f7344e7b9916d1d66fb0222b,

title = "Robust diffusion average strategy over distributed networks with impulsive link noise",

abstract = "In this paper, a robust diffusion average-estimate normalized least mean square (NLMS) algorithm is proposed to tackle the impulsive noise in adjacent node communication links over distributed networks. Compared with the diffusion NLMS algorithm, the key point of the new algorithm is that it introduces two additional steps: robust detection and average estimation, thus greatly reducing the negative effects of the impulsive link noise. In addition, the mean stability of the proposed robust diffusion average-estimate NLMS algorithm is analyzed. Finally, Monte-Carlo simulation results demonstrate the effectiveness of the proposed robust diffusion algorithm.",

author = "Zhao Zhang and Sheng Zhang and Zheng, {Wei Xing}",

year = "2022",

doi = "10.1109/ISCAS48785.2022.9937697",

language = "English",

isbn = "9781665484862",

pages = "2594--2598",

booktitle = "Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA",

publisher = "IEEE",

note = "IEEE International Symposium on Circuits and Systems ; Conference date: 01-01-2022",

}

Zhang, Z, Zhang, S & Zheng, WX 2022, Robust diffusion average strategy over distributed networks with impulsive link noise. in Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA. IEEE, pp. 2594-2598, IEEE International Symposium on Circuits and Systems, 1/01/22. https://doi.org/10.1109/ISCAS48785.2022.9937697

Robust diffusion average strategy over distributed networks with impulsive link noise. / Zhang, Zhao; Zhang, Sheng; Zheng, Wei Xing.
Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA. IEEE, 2022. p. 2594-2598.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Robust diffusion average strategy over distributed networks with impulsive link noise

AU - Zhang, Zhao

AU - Zhang, Sheng

AU - Zheng, Wei Xing

PY - 2022

Y1 - 2022

N2 - In this paper, a robust diffusion average-estimate normalized least mean square (NLMS) algorithm is proposed to tackle the impulsive noise in adjacent node communication links over distributed networks. Compared with the diffusion NLMS algorithm, the key point of the new algorithm is that it introduces two additional steps: robust detection and average estimation, thus greatly reducing the negative effects of the impulsive link noise. In addition, the mean stability of the proposed robust diffusion average-estimate NLMS algorithm is analyzed. Finally, Monte-Carlo simulation results demonstrate the effectiveness of the proposed robust diffusion algorithm.

AB - In this paper, a robust diffusion average-estimate normalized least mean square (NLMS) algorithm is proposed to tackle the impulsive noise in adjacent node communication links over distributed networks. Compared with the diffusion NLMS algorithm, the key point of the new algorithm is that it introduces two additional steps: robust detection and average estimation, thus greatly reducing the negative effects of the impulsive link noise. In addition, the mean stability of the proposed robust diffusion average-estimate NLMS algorithm is analyzed. Finally, Monte-Carlo simulation results demonstrate the effectiveness of the proposed robust diffusion algorithm.

UR - https://hdl.handle.net/1959.7/uws:78060

U2 - 10.1109/ISCAS48785.2022.9937697

DO - 10.1109/ISCAS48785.2022.9937697

M3 - Conference Paper

SN - 9781665484862

SP - 2594

EP - 2598

BT - Proceedings of the 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 27 May - 1 June 2022, Austin, Texas, USA

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 1 January 2022

ER -

Robust diffusion average strategy over distributed networks with impulsive link noise

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