Low-Complexity Residual Carrier Frequency Offset Mitigation Based on Spectrum Symmetry for CO-OFDM Systems
Low-Complexity Residual Carrier Frequency Offset Mitigation Based on Spectrum Symmetry for CO-OFDM Systems
复制标题
基于频谱对称的 CO-OFDM 系统低复杂度残余载波频偏缓解
DOI：
10.1109/jlt.2018.2870907
复制
发表时间：
2018-11
影响因子：
4.7
通讯作者：
Hong Xuezhi
中科院分区：
文献类型：
--
作者：
Yan Qifeng;Hong Xiaojian;Hong Xuezhi
针对相干光正交频分复用系统，提出了一种基于频谱对称性的低复杂度残余载波频偏补偿（RCFOC）方法。推导了频谱对称性的封闭表达式，该表达式表明了载波相位的频谱形状与剩余载波频偏（RCFO）的关系。与我们以前的建议相比，新方法的计算复杂度显着降低，避免了过多的时间离散傅立叶变换运算的对称度计算。复杂度分析表明，新算法所需的复值乘法次数仅为原算法的3.4%。在一个16 QAM调制系统中，通过Monte Carlo仿真对所提出的RCFOC方法的性能进行了评估。数值结果表明，该算法在参数选取适当的情况下，可以获得高精度的RCFO估计。均方误差分析表明，该算法是非常强大的激光线宽，传输距离和光信噪比的不同组合在地铁/长距离接入应用。
In this paper, a low-complexity residual carrier frequency offset compensation (RCFOC) approach based on spectrum symmetry is proposed for coherent optical orthogonal frequency division multiplexing systems. A closed-form expression of spectrum symmetry is derived, which shows the dependence of spectrum shape of carrier phase on the residual carrier frequency offset (RCFO). Compared with our previous proposal, the computational complexity of the new method is dramatically reduced by avoiding excessive times of discrete Fourier transform operations in calculating the degree of symmetry. The complexity analysis shows that the required number of complex-valued multiplications in the new algorithm is only 3.4% of that with the previous one. The performance of the proposed RCFOC method is evaluated by Monte Carlo simulations in a 16 QAM modulated system. Numerical results verify that high accuracy RCFO estimation is achieved by our algorithm with optimal parameters of moderate values. The mean square error analysis indicates that the proposed algorithm is very robust to different combinations of laser linewidth, transmission distance, and optical signal-to-noise-ratio in metro/long-reach access applications.
登录
查看更多内容
影响因子：
8.3
作者：
MOOSE, PH
通讯作者：
MOOSE, PH
影响因子：
2.6
作者：
X. Yi;W. Shieh;Yan Tang
通讯作者：
X. Yi;W. Shieh;Yan Tang
影响因子：
3.5
作者：
Yaojun Qiao;Zhansheng Wang;Yuefeng Ji
通讯作者：
Yaojun Qiao;Zhansheng Wang;Yuefeng Ji
影响因子：
2.6
作者：
Xi Fang;Chuanchuan Yang;Tingting Zhang;Fan Zhang
通讯作者：
Xi Fang;Chuanchuan Yang;Tingting Zhang;Fan Zhang
影响因子：
3.8
作者：
Xiaojian Hong;Xuezhi Hong;Sailing He
通讯作者：
Xiaojian Hong;Xuezhi Hong;Sailing He