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Novel Training Symbol Structure for Transmitter IQ Mismatch Estimation for PDM Coherent Optical OFDM System

机译:用于PDM相干光OFDM系统的发射机IQ不匹配估计的新型训练符号结构

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摘要

In this paper, two novel training symbol structures are proposed to mitigate transmitter IQ mismatch and channel distortion for polarization division multiplexed (PDM) coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. Accordingly, two corresponding estimation methods are proposed. Compared with the conventional estimation approach, the advantage of the first method is that IQ mismatch and channel distortion are estimated independently, and the benefit of the second method is that the overhead of training symbols is reduced. The theoretical analysis is validated by numerical Monte Carlo simulations of PDM CO-OFDM system. Under the simulation conditions: the phase mismatch 15°, the amplitude mismatch 3 dB, the transmission bit rate 100 Gb/s, the standard signal-mode fiber link 480 km, and bit error rate 1e-3, 24 dB optical signal-to-noise ratio (OSNR) is necessary for the first method, and 28 dB OSNR for the second one.
机译:在本文中,提出了两种新颖的训练符号结构,以减轻偏振分割复用(PDM)相干光正交频分复用(CO-OFDM)系统的发射机IQ失配和信道失真。因此,提出了两种对应的估计方法。与常规估计方法相比,第一种方法的优点是独立估计IQ失配和信道失真,第二种方法的优点是减少了训练符号的开销。理论分析得到了PDM CO-OFDM系统的数值蒙特卡洛仿真的验证。在仿真条件下:相位不匹配15°,幅度不匹配3 dB,传输比特率100 Gb / s,标准信号模式光纤链路480 km,误码率1e-3,光信号到第一种方法需要噪声比(OSNR),第二种方法则需要28 dB OSNR。

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