Flexible polarization demultiplexing method based on an adaptive process noise covariance Kalman filter  

Flexible polarization demultiplexing method based on an adaptive process noise covariance Kalman filter

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作  者:Jun Ge Lianshan Yan Anlin Yi Yan Pan Lin Jiang Liangliang Dai Wei Pan Bin Luo 葛军;闫连山;易安林;盘艳;蒋林;代亮亮;潘炜;罗斌(Center for Information Photonics & Communications, School of Information Science and Technology,Southwest Jiaotong University)

机构地区:Center for Information Photonics & Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China

出  处:《Chinese Optics Letters》2018年第6期19-23,共5页中国光学快报(英文版)

基  金:supported by the National Natural Science Foundation of China(NSFC)(Nos.61335005,61325023,and 61401378)

摘  要:A flexible polarization demultiplexing method based on an adaptive Kalman filter(AKF) is proposed in which the process noise covariance has been estimated adaptively. The proposed method may significantly improve the adaptive capability of an extended Kalman filter(EKF) by adaptively estimating the unknown process noise covariance. Compared to the conventional EKF, the proposed method can avoid the tedious and time consuming parameter-by-parameter tuning operations. The effectiveness of this method is confirmed experimentally in 128 Gb/s 16 QAM polarization-division-multiplexing(PDM) coherent optical transmission systems. The results illustrate that our proposed AKF has a better tracking accuracy and a faster convergence(about 4 times quicker)compared to a conventional algorithm with optimal process noise covariance.A flexible polarization demultiplexing method based on an adaptive Kalman filter(AKF) is proposed in which the process noise covariance has been estimated adaptively. The proposed method may significantly improve the adaptive capability of an extended Kalman filter(EKF) by adaptively estimating the unknown process noise covariance. Compared to the conventional EKF, the proposed method can avoid the tedious and time consuming parameter-by-parameter tuning operations. The effectiveness of this method is confirmed experimentally in 128 Gb/s 16 QAM polarization-division-multiplexing(PDM) coherent optical transmission systems. The results illustrate that our proposed AKF has a better tracking accuracy and a faster convergence(about 4 times quicker)compared to a conventional algorithm with optimal process noise covariance.

关 键 词:EKF PDM Flexible polarization demultiplexing method based on an adaptive process noise covariance Kalman filter QAM 

分 类 号:TN713[电子电信—电路与系统]

 

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