Performance analysis of compressive diffusion normalized LMS algorithm with link noises

Sheng Zhang; Wei Xing Zheng

doi:10.1109/ISCAS51556.2021.9401635

Performance analysis of compressive diffusion normalized LMS algorithm with link noises

Sheng Zhang, Wei Xing Zheng

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

4 Citations (Scopus)

Abstract

In this paper, an investigation is launched into the compressive diffusion strategy in the presence of noisy communication links so as to develop the compressive diffusion double normalized least mean square (NLMS) algorithm. Based on the single update global weight-error model, an analytical formulation of the transient and steady-state results is made for the compressive diffusion double NLMS algorithm. These analytical results are instrumental to making a better understanding of the mean square performance of the compressive diffusion strategy against link noises. Lastly, simulation study is carried out to validate the performance of the developed compressive diffusion double NLMS algorithm over adaptive networks subject to link noises.

Original language	English
Title of host publication	Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021
Publisher	IEEE
Number of pages	5
ISBN (Print)	9781728192017
DOIs	https://doi.org/10.1109/ISCAS51556.2021.9401635
Publication status	Published - 2021
Event	IEEE International Symposium on Circuits and Systems - Duration: 22 May 2021 → …

Publication series

Name
ISSN (Print)	2158-1525

Conference

Conference	IEEE International Symposium on Circuits and Systems
Period	22/05/21 → …

Bibliographical note

Publisher Copyright:
© 2021 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

Access to Document

10.1109/ISCAS51556.2021.9401635

Cite this

@inproceedings{2bbdb7dbe2484100be5b1e3e2cef796b,

title = "Performance analysis of compressive diffusion normalized LMS algorithm with link noises",

abstract = "In this paper, an investigation is launched into the compressive diffusion strategy in the presence of noisy communication links so as to develop the compressive diffusion double normalized least mean square (NLMS) algorithm. Based on the single update global weight-error model, an analytical formulation of the transient and steady-state results is made for the compressive diffusion double NLMS algorithm. These analytical results are instrumental to making a better understanding of the mean square performance of the compressive diffusion strategy against link noises. Lastly, simulation study is carried out to validate the performance of the developed compressive diffusion double NLMS algorithm over adaptive networks subject to link noises.",

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

note = "Publisher Copyright: {\textcopyright} 2021 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.; IEEE International Symposium on Circuits and Systems ; Conference date: 22-05-2021",

year = "2021",

doi = "10.1109/ISCAS51556.2021.9401635",

language = "English",

isbn = "9781728192017",

publisher = "IEEE",

booktitle = "Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021",

}

TY - GEN

T1 - Performance analysis of compressive diffusion normalized LMS algorithm with link noises

AU - Zhang, Sheng

AU - Zheng, Wei Xing

PY - 2021

Y1 - 2021

N2 - In this paper, an investigation is launched into the compressive diffusion strategy in the presence of noisy communication links so as to develop the compressive diffusion double normalized least mean square (NLMS) algorithm. Based on the single update global weight-error model, an analytical formulation of the transient and steady-state results is made for the compressive diffusion double NLMS algorithm. These analytical results are instrumental to making a better understanding of the mean square performance of the compressive diffusion strategy against link noises. Lastly, simulation study is carried out to validate the performance of the developed compressive diffusion double NLMS algorithm over adaptive networks subject to link noises.

AB - In this paper, an investigation is launched into the compressive diffusion strategy in the presence of noisy communication links so as to develop the compressive diffusion double normalized least mean square (NLMS) algorithm. Based on the single update global weight-error model, an analytical formulation of the transient and steady-state results is made for the compressive diffusion double NLMS algorithm. These analytical results are instrumental to making a better understanding of the mean square performance of the compressive diffusion strategy against link noises. Lastly, simulation study is carried out to validate the performance of the developed compressive diffusion double NLMS algorithm over adaptive networks subject to link noises.

UR - https://hdl.handle.net/1959.7/uws:75358

U2 - 10.1109/ISCAS51556.2021.9401635

DO - 10.1109/ISCAS51556.2021.9401635

M3 - Conference Paper

SN - 9781728192017

BT - Proceedings of 2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May 22-28, 2021

PB - IEEE

T2 - IEEE International Symposium on Circuits and Systems

Y2 - 22 May 2021

ER -

Performance analysis of compressive diffusion normalized LMS algorithm with link noises

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this