A novel Fast Eigenvalue Decomposition based on Cyclic Jacobi rotation and its application in eigen-beamforming
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概要
- 論文の詳細を見る
The eigenspace in general represents the spatial characteristics of the propagation channel. Eigen-beam forming is one approach, which use the knowledge of the eigenspace of the channel at the transmitter or receiver to achieve a MIMO-capacity gain. However, the conventional EVD (Eigenvalue Decomposition) must repeat a high computation load every time the snapshot of correlation matrix is taken. In this paper, we propose an efficient tracking method based on the exact Jacobi method. Not only eigenspaces but also noisespaces can be obtained by this proposed method. The proposed method is applicable to slowly time-variant system. In such condition, the proposed method drastically reduces computation load compared with the conventional EVD method based on the Jacobi method.
- 社団法人電子情報通信学会の論文
- 2006-07-20
著者
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Pham Dang
Faculty Of Engineering Dept. Of Information Engineering Univ. Of The Ryukyus
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Pham Dang
Faculty Of Information Engineering University Of The Ryukyus 1senbaru Nishihara
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WADA Tomohisha
Faculty of Engineering, Dept. of Information Engineering, Univ. of the Ryukyus
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Wada Tomohisha
Faculty Of Engineering Dept. Of Information Engineering Univ. Of The Ryukyus
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Wada Tomohisa
Information Engineering Department Graduate School Of Engineering And Science University Of The Ryuk
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- A novel Fast Eigenvalue Decomposition based on Cyclic Jacobi rotation and its application in eigen-beamforming