A Cluster Map Based Blind RBF Decision Feedback Equalizer with Reduced Computational Complexity(Digital Signal Processing)
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概要
- 論文の詳細を見る
Recently, a cluster map based blind RBF equalizer (CMBRE) has been proposed. By utilizing the underlying structure characteristics of RBF equalizer, the CM-BRE can be implemented by the combination of neural-gas algorithm (NGA) with several sorting operations. Although the CM-BRE is able to achieve almost identical performance with the optimal RBF equalizer, the high computational load mainly caused by NGA limits it's application. In this paper, we propose a downsizing method that employs the inter-relation among RBF centers and significantly reduces the NGA's computational load. Furthermore, a method to determine the feedback vector is derived, then CM-BRE is extended to a cluster map based blind RBF decision feedback equalizer (CM-BRDFE). The proposed CM-BRDFE also shows the close performance with the optimal RBF decision feedback equalizer in simulations.
- 社団法人電子情報通信学会の論文
- 2004-10-01
著者
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LIN Hai
Graduate School of Engineering, Osaka Prefecture University
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YAMASHITA Katsumi
Graduate School of Engineering, Osaka Prefecture University
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Yamashita Katsumi
Graduate School Of Engineering Osaka Prefecture University
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Lin Hai
Graduate School Of Engineering Osaka Prefecture University
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