A LMS-based Equalization Algorithm for 28Gbaud PM-MQAM Optical Coherent System
In this paper,we presented an improved equalization algorithm which use Least Mean Square algorithm (LMS) training-based as pre-convergence,after reaching the threshold,equalization switches to directed decision LMS to compensate a various of impairs and decrease bit error rate (BER) to achieve better performance in the steady-state,the experiment is based on a 28Gbaud-MQAM polarization multiplexing optical coherent system.
Equalization Radius Directed Equalization Least Mean Square Algorithm Polarization de-multiplexing Optical coherent receiver
Dong Yan Xian Zhou Limin Xia Xiaoyun Wu Nana Zhang
School of Computer & Communication Engineering University of Science and Technology Beijing Beijing,China
国际会议
郑州
英文
1545-1549
2013-10-19(万方平台首次上网日期,不代表论文的发表时间)