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Compensation for Radio-over-Fibre Uplink Based on Hybrid Neural Networks |
| WANG Jian-Ping;ZHOU Xian-Wei;SONG Ya-Li;GUO Wen-Zhe |
| Department of Communication Engineering, School of Information Engineering, University of Science and Technology Beijing, Beijing 100083 |
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| Cite this article: |
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WANG Jian-Ping, ZHOU Xian-Wei, SONG Ya-Li et al 2008 Chin. Phys. Lett. 25 1274-1276 |
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Abstract 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 are 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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| Keywords:
42.25.Bs
42.15.Eq
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Received: 07 December 2007
Published: 31 March 2008
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| PACS: |
42.25.Bs
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(Wave propagation, transmission and absorption)
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42.15.Eq
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(Optical system design)
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