基于多步卡尔曼滤波的400 Gbps单载波PDM-16-QAM系统激光和非线性相位噪声跟踪与估计

Srishti Sharma, P. Krishnamurthy
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引用次数: 1

摘要

相干光通信系统的性能经常受到激光相位噪声和非线性相位噪声的限制。提出了一种用于400 Gbps PDM-16-QAM相干光学系统LPN和NLPN跟踪和估计的n步卡尔曼滤波器。仿真结果表明,当激光线宽为100 kHz时,将滤波器的采样因子降低10倍,在1200 km的传输范围内可实现14.5 dB的q因子,并且在n=20时,可以观察到$\lt \ mathm {d}\ mathm {B}$的衰减。q因子曲线表明,多步卡尔曼滤波器(MKF)比线性阶跃卡尔曼滤波器性能更好。$m=10$的MKF可以成功地减轻所提出系统的LPN和NLPN,最大激光线宽公差为1 MHz,超过$40 × 80$ km。结果表明,MKF可以最优地跟踪载波相位噪声和克尔非线性,从而验证了我们提出的滤波器设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Laser and Nonlinear Phase Noise Tracking and Estimation in Long Haul 400 Gbps Single Carrier PDM-16-QAM Systems using Multi-step Kalman Filter
Coherent optical communication system performance is often limited by LPN (laser phase noise) and NLPN (nonlinear phase noise). A n-step Kalman filter to track and estimate LPN and NLPN is proposed for 400 Gbps PDM-16-QAM coherent optical system. Simulations show that for 100 kHz laser linewidth, reducing the sampling factor of filter by 10, Q-factor of 14.5 dB can be achieved over 1200 km transmission and $\lt 1\mathrm{d}\mathrm{B}$ degradation is observed for n=20. Q-factor curves indicate that multi-step Kalman filter (MKF) performs better than linear step Kalman filter. MKF with $m=10$ can successfully mitigate the LPN and NLPN for the proposed system with maximum laser linewidth tolerance upto 1 MHz over $40\times 80$ km. Results show that MKF can optimally track carrier phase noise and Kerr nonlinearities, thereby validating our proposed filter design.
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