• Acta Optica Sinica
  • Vol. 38, Issue 9, 0906004 (2018)
Liangliang Dai*, Lianshan Yan*, Anlin Yi, Yan Pan, Lin Jiang, Jun Ge, Wei Pan, and Bin Luo
Author Affiliations
  • Center for Information Photonics and Communications, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
  • show less
    DOI: 10.3788/AOS201838.0906004 Cite this Article Set citation alerts
    Liangliang Dai, Lianshan Yan, Anlin Yi, Yan Pan, Lin Jiang, Jun Ge, Wei Pan, Bin Luo. Dual-Polarization Paralleled Carrier Phase Recovery Algorithm Based on Linear Kalman Filter[J]. Acta Optica Sinica, 2018, 38(9): 0906004 Copy Citation Text show less

    Abstract

    A dual-polarization paralleled carrier phase recovery algorithm with better linewidth tolerance and lower computational complexity is presented for polarization division multiplexing and 16-order quadrature amplitude modulation (PDM-16QAM) system based on linear Kalman filter (LKF). The symbols in first and third rings of two polarizations are used to perform phase noise estimation. The simulation results for PDM-16QAM system with the transmission rate of 224 Gb/s demonstrate that the linewidth tolerance of dual-polarization LKF is about seven times of that of single-polarization LKF. The linewidth tolerance is improved to 2800 kHz from 400 kHz. The dual-polarization LKF processes about four times symbols in one block than single-polarization LKF, which reduces the algorithm computational complexity and enhances the real-time performance. Finally, the proposed algorithm is verified in the transmission experiment of PDM-16QAM system with the transmission rate of 224 Gb/s.
    Liangliang Dai, Lianshan Yan, Anlin Yi, Yan Pan, Lin Jiang, Jun Ge, Wei Pan, Bin Luo. Dual-Polarization Paralleled Carrier Phase Recovery Algorithm Based on Linear Kalman Filter[J]. Acta Optica Sinica, 2018, 38(9): 0906004
    Download Citation