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A Recursive Data Least Square Algorithm and Its Channel Equalization Application  

Lim, Jun-Seok (Department of Electroncis Engineering Sejong University)
Kim, Jae-Soo (Department of Ocean Engineering Korea Maritime University)
Publication Information
The Journal of the Acoustical Society of Korea / v.25, no.2E, 2006 , pp. 43-48 More about this Journal
Abstract
Abstract-Using the recursive generalized eigendecomposition method, we develop a recursive form solution to the data least squares (DLS) problem, in which the error is assumed to lie in the data matrix only. Simulations demonstrate that DLS outperforms ordinary least square for certain types of deconvolution problems.
Keywords
Data least square method; Generalized eigenvalue problem; Equalization;
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