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Modified constellation reshaping method for PAPR reduction of PDM CO-OFDM based on a SLM algorithm

机译:基于SLM算法的PDM CO-OFDM PAPR降低的改进的星座重塑方法

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摘要

In this paper, we propose a modified constellation reshaping method for peak-to-average power ratio (PAPR) reduction in polarization division multiplexing (PDM) coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems based on the selective mapping (SLM) method. A modified quadrature amplitude modulation (M-QAM) constellation is generated that has the same minimum distance as that of the conventional QAM (C-QAM) constellation. The M-SLM method is denoted as the M-QAM constellations combining with the traditional SLM method. At the receiver side, the mean square errors between the constellations of the received data and each M-QAM rotated by different phase rotation factors are calculated. Then, the phase rotation factor with the minimum mean square error is selected to recover the original data. The advantage of the proposed method is that it does not need to send additional side information, while it possesses nearly the same PAPR reduction and bit error rate performance as the traditional SLM method. (C) 2019 Optical Society of America
机译:在本文中,我们提出了一种基于选择性映射(SLM)(SLM)的偏振分频多路复用(PAPR)降低峰平均功率比(PAPR)的峰平均功率比(PAPR)的变化(PAPR)的改进的星座重塑方法。方法。产生修改的正交幅度调制(M-QAM)星座,其具有与传统QAM(C-QAM)星座相同的最小距离。 M-SLM方法用与传统的SLM方法组合的M-QAM星座表示。在接收器侧,计算所接收数据的星座与由不同相位旋转因子旋转的每个M-QAM之间的平均方误差。然后,选择具有最小平均误差的相位旋转因子以恢复原始数据。所提出的方法的优点是它不需要发送额外的侧面信息,而它具有几乎相同的PAPR减少和误码率性能作为传统的SLM方法。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第7期|共8页
  • 作者单位

    China Univ Geosci Sch Mech Engn &

    Elect Informat Wuhan Hubei Peoples R China;

    China Univ Geosci Sch Mech Engn &

    Elect Informat Wuhan Hubei Peoples R China;

    China Univ Geosci Sch Mech Engn &

    Elect Informat Wuhan Hubei Peoples R China;

    China Univ Geosci Sch Mech Engn &

    Elect Informat Wuhan Hubei Peoples R China;

    Wuhan Res Inst Post &

    Telecommun State Key Lab Opt Commun Technol &

    Networks Wuhan Hubei Peoples R China;

    China Univ Geosci Sch Mech Engn &

    Elect Informat Wuhan Hubei Peoples R China;

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  • 正文语种 eng
  • 中图分类 应用;
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