基于k-means的PDM O-OFDM/OQAM信道均衡方法  

K-means-based Channel Equalization Method for Polarization-division-multiplexed CO-OFDM/OQAM Systems

作　　者：马丽娜 方熙 张磊[1] MA Lina;FANG Xi;ZHANG Lei(Beijing Electronic Science and Technology Institute,Beijing 100070,P.R.China)

机构地区：[1]北京电子科技学院,北京市100070

出　　处：《北京电子科技学院学报》2022年第3期111-117,共7页Journal of Beijing Electronic Science And Technology Institute

基　　金：北京电子科技学院一流学科建设项目(项目编号:20210093Z0401)。

摘　　要：本文系统地分析了一种基于k-means光纤非线性减缓的方法以实现PDM O-OFDM/OQAM系统的信道均衡。实验表明,该方法能够有效降低计算复杂度和提高误码性能。与经典的k-means算法相比,该方法能够快速找到适合的初始质心,并正确选择聚类质心,从而获得全局最优解。In this paper,a k-means-clustering-based method to reduce the fiber nonlinearity is systemically analyzed to implement channel equalization for PDM fiber OFDM/OQAM systems.Experiment results indicate that the proposed method is able to reduce the computational complexity and improve the BER performance.Compared with the classic k-means-clustering algorithm,the proposed method could quickly find the appropriate initial centroids and correctly choose the centroids of the clusters to obtain the global optimal solutions.

关 键 词：相干通信 光通信 OFDM/OQAM 机器学习 

分 类 号：TN918.4[电子电信—通信与信息系统]