Time-Variant Fading Channel Estimation by Extended RLS(Wireless Communication Technology)
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概要
- 論文の詳細を見る
In this letter, a new extended recursive least squares (RLS) algorithm is proposed for the identification of fading channels. We extend the standard RLS algorithm by converting the linear regression model into a state-space model. The unknown terms of the extended model are obtained by estimating the values which minimize the mean squared error (MSB). The proposed algorithm has lower computational complexity than the Kalman filter combined with the hypermodel described in [1], and exhibits superior performance in simulation than the existing RLS algorithms, namely the exponentially weighted ELLS algorithm with a fixed forgetting factor (EW-RLS), and the RLS algorithm with a variable forgetting factor (VFF-RLS).
- 社団法人電子情報通信学会の論文
- 2004-06-01
著者
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Lee Sang-wook
Lg Electronics Inc.
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Sung Koeng-Mo
School of Electrical Engineering, Seoul National University
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HAN Ki-Young
School of Electrical Engineering & Computer Science, Seoul National University
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LIM Jun-Seok
Department of Electronics Engineering, Sejong University
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Lim Jun-seok
Department Of Electronics Engineering Sejong Univ.
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Han Ki-young
School Of Electrical Engineering & Computer Science Seoul National University
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Sung Koeng-mo
School Of Electrical Engineering & Computer Science Seoul National University
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SUNG Koeng-Mo
School of Electrical Engineering & Computer Science, Seoul National University
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SUNG Koeng-Mo
School of Electrical Eng. and Computer Science, Seoul National University
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