A Recursive Data Least Square Algorithm and Its Channel Equalization Application(Fundamental Theories for Communications)

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概要

• 論文の詳細を見る

• 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. We apply it to a linear channel equalizer. Simulations shows that the DLS-based equalizer outperforms the ordinary least squares-based one in a channel equalization problem.

• 社団法人電子情報通信学会の論文
• 2007-08-01

著者

• Lim Jun‐seok

  Dept. Of Electronics Eng. Sejong Univ.

• Lim Jun-seok

  Dept. Of Electronics Eng. Sejong Univ.

• Sung Koeng-mo

  Seoul National University

• KIM Jea-Soo

  Dept. of Ocean Eng. Korea Maritime Univ.

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