Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm

Abstract

The shrinkage linear complex-valued least mean squares (SL-CLMS) algorithm with a variable step size overcomes the conflicting issue between fast convergence and low steady-state misalignment. To the best of our knowledge, the theoretical performance analysis of the SL-CLMS algorithm has not been presented yet. This letter focuses on the theoretical analysis of the excess mean square error transient and steady-state performance of the SL-CLMS algorithm. Simulation results obtained for identification scenarios show a good match with the analytical results.

Metadata

Item Type:	Article
Authors/Creators:	Shi, Long Zhao, Haiquan Zakharov, Yuriy https://orcid.org/0000-0002-2193-4334
Copyright, Publisher and Additional Information:	© Copyright 2019 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:	Published: 1 July 2019
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User:	Pure (York)
Date Deposited:	15 Jul 2019 13:50
Last Modified:	16 Oct 2024 15:51
Published Version:	https://doi.org/10.1109/LSP.2019.2925957
Status:	Published
Refereed:	Yes
Identification Number:	10.1109/LSP.2019.2925957
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:148539

Download

Accepted Version

Filename: Shrinkage_LMS_performance.pdf

Description: Shrinkage-LMS-performance

CLICK TO DOWNLOAD

[thumbnail of Shrinkage-LMS-performance]

CORE (COnnecting REpositories)

Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm

Abstract

Metadata

Download

Accepted Version

Export

Statistics