摘要
针对高速相干光通信接收系统中的频偏估计算法进行研究,分析传统的四次方频偏估计算法性能不好的影响因素,提出一种基于训练序列和最小均方算法(Least Mean Square,LMS)的频偏估计算法。利用已知训练序列移除信号中的调制相位后,采用LMS算法消除高斯白噪声的影响,得到频偏导致的相位偏移,最后计算得到频偏估计值。仿真结果表明,该算法能够快速准确跟踪频偏,而且与传统的四次方频偏估计算法相比,占用资源更少而且拥有更大的频偏估计范围。
Aiming at the algorithm of frequency offset estimation in high-speed coherent optical communication system, analyze the factors that affect the performance of the traditional quadratic frequency offset estimation algorithm, propose a frequency offset estimation algorithm based on training sequence and Least Mean Square（LMS）. The known training sequence is used to remove the modulation phase and the LMS algorithm is used to eliminate the effect of Gaussian white noise. Get the phase offset caused by the frequency offset, and finally calculate the frequency offset estimation value. The simulation results show that the algorithm can track the frequency offset quickly and accurately, and occupy less resources and have a larger frequency offset estimation range than the traditional quadratic frequency offset estimation algorithm.
出处
《信息通信》
2018年第2期12-14,共3页
Information & Communications
关键词
相干光通信
训练序列
LMS
频偏估计
高斯白噪声
coherent optical communication
training sequence
LMS
frequency offset estimation
Gaussian white noise
