Acta Optica Sinica, Volume. 38, Issue 9, 0906004(2018)
Dual-Polarization Paralleled Carrier Phase Recovery Algorithm Based on Linear Kalman Filter
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.
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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
Category: Fiber Optics and Optical Communications
Received: Jan. 23, 2018
Accepted: Apr. 24, 2018
Published Online: May. 9, 2019
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