Multi-Rate Kalman Filter for Carrier Phase Recovery in 200 Gbps PDM Coherent Optical Receivers

Wrivu Sanyal, Srishti Sharma, P. Krishnamurthy
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Abstract

The Kalman filter is often used for tracking and estimation of effects such as LPN and NLPN in long haul coherent optical communication systems. However, real-time symbol-by-symbol estimation of these parameters is computationally challenging. We use a multi-rate Kalman filtering scheme that allows for different sampling and state update rates in the system. This scheme achieves high Q-factor by making use of maximum available samples while reducing computational load. Simulations are performed for 200 Gbps PDM-16-QAM system by transmitting 20000 symbols over 800 km optical channel. The filter has Q-factor of 17.25 dB with state estimates being updated after every 20 samples. The filter shows more than 1 dB improvement in Q-factor when compared to a KF where the intermediate samples are not utilised for phase estimation.
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用于200gbps PDM相干光接收机载波相位恢复的多速率卡尔曼滤波器
在长途相干光通信系统中,卡尔曼滤波常用于LPN和NLPN效应的跟踪和估计。然而,这些参数的实时逐符号估计在计算上具有挑战性。我们使用多速率卡尔曼滤波方案,该方案允许系统中不同的采样和状态更新速率。该方案在减少计算负荷的同时,充分利用了最大可用样本,实现了高q因子。对200 Gbps PDM-16-QAM系统在800 km光信道上传输20000个码元进行了仿真。该滤波器的q因子为17.25 dB,状态估计在每20个样本后更新。与不使用中间样本进行相位估计的KF相比,该滤波器显示q因子改善超过1db。
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