Compensation for Radio-over-Fibre Uplink Based on Hybrid Neural Networks

WANG Jian-Ping; ZHOU Xian-Wei; SONG Ya-Li; GUO Wen-Zhe

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Compensation for Radio-over-Fibre Uplink Based on Hybrid Neural Networks

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@@ The radio-over-fibre (ROF) uplink, which combines the merit of optical fibre with that of microwave technology,can supply the high capacity of communication. However, there axe two major issues: nonlinear distortion of the optical link and the multipath dispersion of the wireless channel, affecting the performance of the system. We propose an equalizer based on hybrid neural networks. The compensation needs no estimation of the channel.The simulated result shows that the ROF uplink can be adequately compensated and the performance of the equalizer depends on the channel noise.

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《中国物理快报：英文版》 |2008年第4期|1274-1276|共3页
作者
WANG Jian-Ping; ZHOU Xian-Wei; SONG Ya-Li; GUO Wen-Zhe;
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Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083;

Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083;

Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083;

Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083;

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正文语种 chi
中图分类物理学;
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Compensation for Radio-over-Fibre Uplink Based on Hybrid Neural Networks

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