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Parallelized and adaptive square-root unscented Kalman filter for carrier recovery in satellite-to-ground coherent optical communications
Optics Communications ( IF 2.4 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.optcom.2020.125697
Jing Sun , Puming Huang , Zhoushi Yao , Jingzhong Guo

Abstract An adaptive square-root unscented Kalman filter with a parallelized architecture for carrier recovery is proposed in QPSK based satellite-to-ground coherent optical communication systems. A new observation model is raised in the proposed scheme to make the state estimation more accurate. The process noise covariance ( Q ) and the measurement noise covariance ( R ) are adaptively estimated to make them consistent with their theoretical covariance. For verification of the feasibility of the proposed scheme, corresponding simulations of carrier recovery in satellite-to-ground laser links are carried out and compared with the scheme that is based on linear Kalman filter (LKF). The simulation results demonstrate that, compared with parallelized LKF, the proposed scheme has a wider range of block size and laser linewidth options, and it can relax the required transmit power by up to 0.5-3 dB under different zenith angle at the same BER. Moreover, the proposed scheme can achieve high estimation accuracy and fast tracking capability simultaneously in the case of dynamic frequency offset with better tolerance against the initial errors in Q and R .

中文翻译:

用于星地相干光通信中载波恢复的并行自适应平方根无迹卡尔曼滤波器

摘要 在基于 QPSK 的星地相干光通信系统中,提出了一种具有并行架构的自适应平方根无迹卡尔曼滤波器用于载波恢复。该方案提出了一种新的观测模型,使状态估计更加准确。过程噪声协方差 ( Q ) 和测量噪声协方差 ( R ) 被自适应地估计以使其与理论协方差一致。为了验证所提出方案的可行性,对星地激光链路中的载波恢复进行了相应的仿真,并与基于线性卡尔曼滤波器(LKF)的方案进行了比较。仿真结果表明,与并行化 LKF 相比,所提出的方案具有更广泛的块大小和激光线宽选项,在相同的误码率下,不同天顶角下所需的发射功率最多可放宽0.5-3 dB。此外,所提出的方案可以在动态频偏的情况下同时实现高估计精度和快速跟踪能力,对 Q 和 R 的初始误差具有更好的容忍度。
更新日期:2020-09-01
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