We propose and experimentally demonstrate a universal and blind polarization-state tracking scheme for M-quadrature amplitude modulation（QAM） signals based on a decision-free radius-directed linear Kalman filter（RD...We propose and experimentally demonstrate a universal and blind polarization-state tracking scheme for M-quadrature amplitude modulation（QAM） signals based on a decision-free radius-directed linear Kalman filter（RD-LKF）.The polarization tracking performance is investigated through simulation and experiments for both quadrature phase-shift keying（QPSK） and 16-QAM signals.The influence of the filter parameters on the static polarization demultiplexing performance and dynamic tracking capability are discussed via simulation.The optimization strategy of the filter parameters in modulation-format-independent scenarios is proposed and simulations are carried out to evaluate the polarization demultiplexing penalty for QPSK,16 QAM,and hybrid QPSK/16 QAM signals.Finally,the proposed decision-free RD-LKF is experimentally compared to the respective algorithms of constant modulus algorithm and multimodulus algorithm for QPSK and 16-QAM and the advantage of ultrafast polarization tracking ability is confirmed.展开更多
基金supported by the National Natural Science Foundation of China(Nos.61205046,61401020,and 61575051)the Shenzhen Municipal Science and Technology Plan Project(Nos.JCYJ20150327155705357,KQCX2015032409501296,and JSGG20150529153336124,and JCYJ20150529114045265)the Hong Kong Government General Research Fund(GRF)(No.PolyU152079/14E)
文摘We propose and experimentally demonstrate a universal and blind polarization-state tracking scheme for M-quadrature amplitude modulation（QAM） signals based on a decision-free radius-directed linear Kalman filter（RD-LKF）.The polarization tracking performance is investigated through simulation and experiments for both quadrature phase-shift keying（QPSK） and 16-QAM signals.The influence of the filter parameters on the static polarization demultiplexing performance and dynamic tracking capability are discussed via simulation.The optimization strategy of the filter parameters in modulation-format-independent scenarios is proposed and simulations are carried out to evaluate the polarization demultiplexing penalty for QPSK,16 QAM,and hybrid QPSK/16 QAM signals.Finally,the proposed decision-free RD-LKF is experimentally compared to the respective algorithms of constant modulus algorithm and multimodulus algorithm for QPSK and 16-QAM and the advantage of ultrafast polarization tracking ability is confirmed.
