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基于MB-OFDM UWB信号的MMF系统性能分析与仿真

Performance analysis and simulation of multimode fiber system based on MB-OFDM UWB singnal
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摘要 针对多模光纤(MMF)通信系统中的模式色散和非线性问题,将MB-OFDM UWB技术融合到多模光纤系统中,从理论上对MB-OFDM UWB技术克服多模光纤模式色散机理进行了分析,证明了该技术具有较好的克服多模光纤模式色散的能力,研究了MB-OFDM UWB信号的峰值平均功率比(PAPR)及PAPR减小方法。应用Optisystem与MATLAB软件搭建了实验仿真平台,验证了应用MB-OFDM UWB技术的多模光纤通信系统有很强的克服模式色散的能力,证明了应用PAPR减小方法对系统非线性的改善作用。 Considering model dispersion and nonlinear in multimode fiber(MMF),MB-OFDM UWB technology was fused into MMF communication system.Through the analysis of a distinguishing feature of MB-OFDM UWB signal and model dispersion in MMF,it was proved that MB-OFDM UWB technology had the ability to overcome multimode fiber mode dispersion.Peak average power ratio(PAPR) of MB-OFDM UWB signal and the PAPR reduction method were researched.The simulation platform was established by MATLAB and Optisystem software,verifying the ability to overcome modal dispersion in MB-OFDM UWB MMF communication system and the improvement in system performance by the PAPR reduction method.
出处 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2013年第S1期430-434,共5页 Journal of Jilin University:Engineering and Technology Edition
基金 自然科学基金项目(61077054 61177066)
关键词 通信技术 多带正交频分复用超宽带 多模光纤 模式色散 峰值平均功率 communication multi-band orthogonal frequency division multiplexing ultra wideband(MB-OFDM UWB) multimode fiber(MMF) mode dispersion peak average power ratio(PAPR)
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参考文献4

  • 1Kurt T,Yongacog (?)lu A.OFDM and Externally Modulated Multi-mode Fibers in Radio over Fiber Systems[].IEEE Trans Wireless Communication.2006
  • 2Rahul A P,Joseph M K,Stephen P B.Compensation ofmultimode fiber dispersion using adaptive optics viaconvex optimization[].Journal of Light Wave Technol-ogy.2008
  • 3Hyun-Bae Jeon,Jong-Seon No,Dong-Joon Shin.A low-complexity SLM scheme using additive mapping se-quences for PAPR reduction of OFDM signals[].IEEE Transactions on Broadcasting.2011
  • 4Li Chih-peng,Wang Sen-hung,Wang Chin-liang.Novellow-complexity SLM schemes for PAPR reduction inOFDM system[].IEEE Transactions on Signal Pro-cessing.2010

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