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Improved RLS algorithm for time-variant underwater acoustic communications

Lookup NU author(s): Hong Yeo, Professor Bayan Sharif, Emeritus Professor Oliver Hinton, Alan Adams


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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.

Publication metadata

Author(s): Yeo HK, Sharif BS, Hinton OR, Adams AE

Publication type: Article

Publication status: Published

Journal: Electronics Letters

Year: 2000

Volume: 36

Issue: 2

Pages: 191-192

ISSN (print): 0013-5194

ISSN (electronic): 1350-911X

Publisher: The Institution of Engineering and Technology


DOI: 10.1049/el:20000190


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