相干接收机色散补偿FIR滤波器设计  

FIR digital filters for compensation of chromatic dispersion in coherent receivers

作　　者：朱旭飞 陆叶[1] 李传起 武康康 陈东 孔一卜 ZHU Xufei;LU Ye;LI Chuanqi;WU Kangkang;CHEN Dong;KONG Yibu(Lab of Optoelectronics and Optical Communications,College of Electronic Engineering,Guangxi Normal University,Guilin 541004,China;College of Physics and Electronic Engineering,Nanning Normal University,Nanning 530001,China;The No.34 Research Institute of CETC,Guilin 541004,China)

机构地区：[1]广西师范大学电子工程学院光电子与光通信实验室,广西桂林541004 [2]南宁师范大学物理与电子学院,广西南宁530001 [3]中国电子科技集团公司第三十四研究所,广西桂林541004

出　　处：《量子电子学报》2021年第1期17-24,共8页Chinese Journal of Quantum Electronics

基　　金：广西科技计划,AB17292082,AB18126025。

摘　　要：提出了一种用于相干接收机色散补偿的FIR滤波器,使用神经网络训练抽头系数,在平方误差最小时频率响应最优,同时利用脉冲成型滤波器限制了信号有效带宽的原理,可以在窄频带中设计滤波器。利用MATLAB设计仿真系统,通过数值仿真分析了滤波器在QPSK、16QAM及64QAM系统中的误码率性能。结果表明:在相同条件下与时域均衡算法对比,当抽头数相同时,该滤波器具有更好的补偿效果,且增加抽头数时不会出现补偿效果劣化的现象;通过在窄频带中设计滤波器,在补偿效果相同的前提下,抽头数能减少37.5%以上,降低了滤波器硬件实现复杂度和滤波器延迟。A finite-length impulse response(FIR)filter whose tap coefficients are trained using a neural network for compensation of chromatic dispersion in digital coherent optical receivers is proposed.The frequency response is optimal when the square error is minimized.The pulse shaping filter limits the effective bandwidth of the signal.Therefore,the filter can be designed in a narrow frequency band.The simulation system is designed with MATLAB,and the BER performance of the filters in QPSK,16 QAM and 64 QAM systems is analyzed through numerical simulation.Results show that compared with the time-domain equalization algorithm under the same conditions,when the number of taps is the same,the filter has a better compensation effect,and the increase in the number of taps will not cause the deterioration of the compensation effect.By designing the filter in a narrow frequency band,the number of taps can be reduced by more than 37.5%under the premise of the same compensation effect,which reduces the complexity of the filter hardware implementation and the filter delay.

关 键 词：光通信 相干接收 色散补偿 FIR滤波器 神经网络 

分 类 号：TN913.7[电子电信—通信与信息系统]