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 28GbaudMQAM polarization multiplexing optical coherent system.