New Neural Network Based Nonlinear and Multipath Distortion Equalizer for FTTA Systems (Special Issue on Mobile Computing)
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概要
- 論文の詳細を見る
A new Neural Network Equalizer (NNE), employing multilayer feedforward neural network, is proposed as a compensation method for nonlinear and multipath distortion that arises from FTTA (Fiber To The Air) system. If a signal in a channel is affected by nonlinear distortion, the conventional Decision Feedback Equalizer (DFE) finds difficulty in perfect compensation of it. To compensate for nonlinear distortion as well as multipath distortion, an equalizer, employing neural network, is investigated. A new neural network equalizer, yielding a cubic function as unit output function, is proposed in order to compensate the nonlinear distortion effectively. We also propose an initial weights of neural network for preventing from local minimum. Computer simulation results show that the compensation performance of the new NNE is superior to the conventional DFE and the conventional NNE.
- 社団法人電子情報通信学会の論文
- 1997-08-25
著者
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KOMAKI Shozo
Departement of Electrical, Electronic and Information Engineering, Graduate School of Engineering, O
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Komaki Shozo
Department Of Communications Engineering Faculty Of Engineering Osaka University
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Komaki Shozo
Osaka University
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OKADA Minoru
Department of Communications Engineering, Faculty of Engineering, Osaka University
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IDO Jun
Information Technology R amp D Center, Mitsubishi Electric Co.
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Ido Jun
Information Technology R Amp D Center Mitsubishi Electric Co.
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Okada Minoru
Department Of Communications Engineering Faculty Of Engineering Osaka University
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