发帖
雷达卡
摘要翻译：
提出了一种在减少保护间隔的相干光正交频分复用（RGI-CO-OFDM）系统中实现帧和频率联合同步的算法。通过使用用于训练辅助信道估计（TA-CE）的相同训练符号(TS)来实现同步，从而避免了额外的训练开销。该算法是针对采用Alamouti型极化时间编码的极化分复用(RGI-CO-OFDM)系统设计的。由于Golay互补序列具有最优的TA-CE性能，该算法采用Golay互补序列作为TS。帧同步是通过利用来自两个正交极化的接收TS之间的互相关来实现的。TS的排列也被用来估计载波频率偏移。对一个数据速率为238.1Gb/s（编码后为197.6-Gb/s),总开销为9.2%（编码后为31.6%）的PDM RGI-CO-OFDM系统的仿真结果表明，该方案具有较高的同步精度，对线性光纤损伤具有较好的鲁棒性。
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英文标题：
《Robust Frame and Frequency Synchronization Based on Alamouti Coding for
RGI-CO-OFDM》
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作者：
Oluyemi Omomukuyo, Deyuan Chang, Octavia Dobre, Ramachandran
Venkatesan, and Telex M. N. Ngatched
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最新提交年份：
2018
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分类信息：
一级分类：Electrical Engineering and Systems Science 电气工程与系统科学
二级分类：Signal Processing 信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
We propose an algorithm for carrying out joint frame and frequency synchronization in reduced-guard-interval coherent optical orthogonal frequency division multiplexing (RGI-CO-OFDM) systems. The synchronization is achieved by using the same training symbols (TS) employed for training-aided channel estimation (TA-CE), thereby avoiding additional training overhead. The proposed algorithm is designed for polarization division multiplexing (PDM) RGI-CO-OFDM systems that use the Alamouti-type polarization-time coding for TA-CE. Due to their optimal TA-CE performance, Golay complementary sequences have been used as the TS in the proposed algorithm. The frame synchronization is accomplished by exploiting the cross-correlation between the received TS from the two orthogonal polarizations. The arrangement of the TS is also used to estimate the carrier frequency offset. Simulation results of a PDM RGI-CO-OFDM system operating at 238.1 Gb/s data rate (197.6-Gb/s after coding), with a total overhead of 9.2% (31.6% after coding), show that the proposed scheme has accurate synchronization, and is robust to linear fiber impairments.
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PDF链接：
https://arxiv.org/pdf/1801.016
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