Blind Channel Identification Based on Eigenvalue Decomposition Using Constrained LMS Algorithm(Wireless Communications Issue)

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概要

• 論文の詳細を見る

• Blind adaptive channel identification of communication channels is a problem of important current theoretical and practical concerns. Recently proposed solutions for this problem exploit the diversity induced by antenna array or time oversampling, leading to the so-called, second order statistics techniques. Adaptive blind channel identification techniques based on a off-line least-squares approach have been, proposed but this method assumes noise-free case. The method resorts to an adaptive filter with a linear constraint. This paper proposes a new approach based on eigenvalue decomposition. Indeed, the eigenvector corresponding to the minimum eigenvalue of the covariance matrix of the received signals contains the channel impulse response. And we present a adaptive algorithm to solve this problem. The performance of the proposed technique is evaluated over real measured channel and is compared to existing algorithms.

• 社団法人電子情報通信学会の論文
• 2002-05-01

著者

• Baik H

  Chonbuk National Univ. Jeonju Kor

• Ahn K

  Chonbuk National Univ. Jeonju Kor

• Ahn Kyung

  The Department Of Electronic Engineering Chonbuk National University

• BYUN Eul

  the Department of Electronic Engineering, Chonbuk National University

• BAIK Heung

  the Division of Electronics & Information Engineering, Electronics & Information Advanced Technology

• Byun Eul

  The Department Of Electronic Engineering Chonbuk National University

関連論文

• Blind Channel Identification Based on Eigenvalue Decomposition Using Constrained LMS Algorithm(Wireless Communications Issue)
• Analytical Results on Linear Prediction-Based Blind Channel Estimation and Equalization(Wireless Communication Technologies)

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