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An investigation on digital signal processing for coherent optical communication system with advanced modulation format

机译:具有高级调制格式的相干光通信系统数字信号处理的研究

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In recent years, many new applications such as cloud computing, Internet of Things (IoT), artificial intelligence (AI) are developing rapidly, which put large capacity requirements on communication network. Coherent optical communication systems based on advanced modulation format have been extensively studied to improve transmission capacity. High-order modulation format requires a better signal-to-noise ratio (SNR) for signal receiving. However, the various damages in transmission links would decrease SNR. In this paper, digital signal processing (DSP) techniques are investigated to compensate signal damages, including Time-domain equalization (TDE) algorithm to compensate chromatic dispersion (CD), constant mode algorithm (CMA) and direct decision least mean square (DD-LMS) algorithm to compensate polarization mode dispersion (PMD), fourth power algorithm to correct frequency deviation, Viterbi & Viterbi and Blind Phase Search (BPS) algorithms to estimate phase noise. Moreover, constellation shaping technology is also discussed to make the transmission capacity closer to Shannon limit.
机译:近年来,许多新的应用程序如云计算,物联网(物联网),人工智能(AI)正在迅速发展,这为通信网络提供了大的容量要求。基于高级调制格式的相干光通信系统已经广泛研究以提高传输容量。高阶调制格式需要更好的信噪比(SNR)用于信号接收。然而,传输链路中的各种损坏将减少SNR。在本文中,研究了数字信号处理(DSP)技术以补偿信号损坏,包括时间域均衡(TDE)算法来补偿色散(CD),恒定模式算法(CMA)和直接决策最小均方(DD- LMS)算法来补偿偏振模式色散(PMD),第四功率算法,以校正频率偏差,维特比和盲阶段搜索(BPS)算法来估计相位噪声。此外,还讨论了星座成形技术以使传输容量更靠近Shannon限制。

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