Noise Adaptive Kalman Filter for Joint Polarization Tracking and Channel Equalization Using Cascaded Covariance Matching

IEEE Photonics Journal

Qianwen He¹  Zhongqing Zhou¹  Yong Yao¹  Qun Zhang¹  Yanfu Yang¹  Qian Xiang¹ 

[1] Department of Electronics and Information Engineering, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China;

关键词: Kalman filters;    adaptive equalizers;    adaptive estimation;    covariance matrices;   

DOI  :  10.1109/JPHOT.2018.2797050

来源: DOAJ

【 摘 要 】

We propose a noise adaptive Kalman filter for joint polarization tracking and channel equalization using cascaded covariance matching. With the process noise covariance (Q) and the measurement noise covariance (R) estimated in a cascaded manner, the proposed Kalman filter scheme can be implemented in adaptive mode. The experimental results demonstrate that in wide range of OSNR and polarization rotation, the scheme can adaptively configure noise covariance parameters and consequently can achieve optimal performance even in long transmission cases. Besides, the scheme is more robust against the initial errors in Q and R compared to nonadaptive filter and R /Q-adaptive algorithms with the allowable initial values of Q and R within 6 and 9 magnitudes, respectively.

【 授权许可】

Unknown