Improved RLS algorithm for time-variant underwater acoustic communications

H. K. Yeo; B. S. Sharif; O. R. Hinton; A. E. Adams

doi:10.1049/el:20000190

Improved RLS algorithm for time-variant underwater acoustic communications

H. K. Yeo, B. S. Sharif, O. R. Hinton, A. E. Adams

Electrical Engineering

Newcastle University

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

5 Scopus citations

Abstract

An extension to the concept of the standard recursive least squares (RLS) algorithm is considered. The improved RLS algorithm is described and has been implemented using experimental data from an underwater acoustic communication system. Results obtained show that the improved RLS algorithm has faster convergence and improved tracking performance than both the standard RLS and least mean squares (LMS) algorithms.

Original language	British English
Pages (from-to)	191-192
Number of pages	2
Journal	Electronics Letters
Volume	36
Issue number	2
DOIs	https://doi.org/10.1049/el:20000190
State	Published - 20 Jan 2000

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title = "Improved RLS algorithm for time-variant underwater acoustic communications",

abstract = "An extension to the concept of the standard recursive least squares (RLS) algorithm is considered. The improved RLS algorithm is described and has been implemented using experimental data from an underwater acoustic communication system. Results obtained show that the improved RLS algorithm has faster convergence and improved tracking performance than both the standard RLS and least mean squares (LMS) algorithms.",

author = "Yeo, {H. K.} and Sharif, {B. S.} and Hinton, {O. R.} and Adams, {A. E.}",

year = "2000",

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AU - Yeo, H. K.

AU - Sharif, B. S.

AU - Hinton, O. R.

AU - Adams, A. E.

PY - 2000/1/20

Y1 - 2000/1/20

N2 - An extension to the concept of the standard recursive least squares (RLS) algorithm is considered. The improved RLS algorithm is described and has been implemented using experimental data from an underwater acoustic communication system. Results obtained show that the improved RLS algorithm has faster convergence and improved tracking performance than both the standard RLS and least mean squares (LMS) algorithms.

AB - An extension to the concept of the standard recursive least squares (RLS) algorithm is considered. The improved RLS algorithm is described and has been implemented using experimental data from an underwater acoustic communication system. Results obtained show that the improved RLS algorithm has faster convergence and improved tracking performance than both the standard RLS and least mean squares (LMS) algorithms.

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U2 - 10.1049/el:20000190

DO - 10.1049/el:20000190

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SN - 0013-5194

VL - 36

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EP - 192

JO - Electronics Letters

JF - Electronics Letters

IS - 2

ER -

Improved RLS algorithm for time-variant underwater acoustic communications

Abstract

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