Publication detail

A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks

QADRI, S. ARIF, M. SAEED, M.

Original Title

A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks

Type

journal article in Web of Science

Language

English

Original Abstract

This work proposes a variable step-size strategy for estimation over distributed networks using the incremental scheme. The proposed algorithm employs the ratio of filtered squared instantaneous error to the squared instantaneous error in a windowed format. This reduces the dependency on the error power which is particularly beneficial in low signal-to-noise power ratio situations. A comprehensive theoretical analysis has been performed, and closed-form solutions of mean squared error, excess mean squared error and mean squared deviation have been derived. The theoretical results are verified via simulation results. Extensive testing has been done through experiments under various scenarios to show the supremacy of the proposed algorithm in comparison with several other algorithms.

Keywords

Variable step-size, Least mean square algorithm, Incremental algorithm, Mean squared deviation, Theoretical analysis, Quotient form

Authors

QADRI, S.; ARIF, M.; SAEED, M.

Released

24. 7. 2023

ISBN

0278-081X

Periodical

CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Year of study

41

Number

12

State

United States of America

Pages from

7226

Pages to

7249

Pages count

24

URL

BibTex

@article{BUT185131,
  author="QADRI, S. and ARIF, M. and SAEED, M.",
  title="A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks",
  journal="CIRCUITS SYSTEMS AND SIGNAL PROCESSING",
  year="2023",
  volume="41",
  number="12",
  pages="7226--7249",
  doi="10.1007/s00034-023-02426-y",
  issn="0278-081X",
  url="https://link.springer.com/article/10.1007/s00034-023-02426-y"
}