Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm

Long Shi; Haiquan Zhao; Yuriy Zakharov

doi:10.1109/LSP.2019.2925957

Performance Analysis of Shrinkage Linear Complex-Valued LMS Algorithm

Long Shi, Haiquan Zhao, Yuriy Zakharov

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1202-1206
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	26
Issue number	8
DOIs	https://doi.org/10.1109/LSP.2019.2925957
Publication status	Published - 1 Jul 2019

Bibliographical note

© 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.

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10.1109/LSP.2019.2925957

Shrinkage-LMS-performance
© 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.
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Cite this

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