Publication Details
A Novel Variable Step-Size LMS Algorithm for Decentralized Incremental Distributed Networks
Arif Muhammad, Ph.D.
SAEED, M.
Variable step-size, Least mean square algorithm, Incremental algorithm, Mean
squared deviation, Theoretical analysis, Quotient form
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.
@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"
}