Direct adaptive equalization based on fast sparse recursive least squares algorithms for multiple-input multiple-output underwater acoustic communications

The sparse direct adaptive equalizer (DAE) has recently attracted much attention in underwater acoustic (UWA) communications for its improved performance compared with conventional non-sparse DAEs. The recursive least squares (RLS) type sparse DAEs were barely studied, mainly due to their high compl...

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Bibliographic Details
Published in:	The Journal of the Acoustical Society of America Vol. 145; no. 4; p. EL277
Main Authors:	Qin, Zhen, Tao, Jun, Wang, Xiaoyan, Luo, Xinwei, Han, Xiao
Format:	Journal Article
Language:	English
Published:	United States 01.04.2019
ISSN:	1520-8524, 1520-8524
Online Access:	Get more information
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Summary:	The sparse direct adaptive equalizer (DAE) has recently attracted much attention in underwater acoustic (UWA) communications for its improved performance compared with conventional non-sparse DAEs. The recursive least squares (RLS) type sparse DAEs were barely studied, mainly due to their high complexity despite fast convergence. This letter presents several low-complexity sparse RLS algorithms for multiple-input multiple-output UWA channel equalization. The resulting fast sparse RLS DAEs are tested to be effective and outperform their non-sparse counterpart by experimental results.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1520-8524 1520-8524
DOI:	10.1121/1.5096630