Chinese Optics Letters, 2018, 16 (6): 060601, Published Online: Jul. 2, 2018  

Flexible polarization demultiplexing method based on an adaptive process noise covariance Kalman filter Download: 734次

Author Affiliations
Center for Information Photonics & Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
Abstract
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 16QAM 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.

Jun Ge, Lianshan Yan, Anlin Yi, Yan Pan, Lin Jiang, Liangliang Dai, Wei Pan, Bin Luo. Flexible polarization demultiplexing method based on an adaptive process noise covariance Kalman filter[J]. Chinese Optics Letters, 2018, 16(6): 060601.

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