CO-OFDM系统中分块Hermite插值的自适应CKF相位噪声补偿算法
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重庆邮电大学 光电工程学院

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国家自然科学(U21A20447, 61971079)


Adaptive CKF Phase Noise Compensation Algorithm of Block Hermite Interpolation for CO-OFDM Systems
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1.Chongqing University of Posts and Telecommunications;2.School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications

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    摘要:

    针对相干光正交频分复用(coherent optical orthogonal frequency division multiplexing, CO-OFDM)系统中传统容积卡尔曼滤波算法动态估计不足以获得最佳相位噪声补偿效果的问题,提出了一种基于次符号进行分块二阶Hermite插值(block sub-symbol second-order hermite interpolation, BSSHI)的自适应容积卡尔曼滤波(cubature kalman filter, ACKF)算法。该算法先利用导频估计出时域OFDM符号相位噪声值进行第一次二阶Hermite插值,再将每个OFDM符号分割成若干个次符号并进行第二次二阶Hermite插值,最后在CKF中通过自适应更新过程噪声协方差矩阵提高补偿精度。仿真结果表明:所提出的算法对相位噪声补偿效果相较于类似算法更优,且通过自适应更新过程噪声提高了系统的鲁棒性,有效改善了系统性能。

    Abstract:

    Aiming at the problem that the dynamic estimation of traditional volume Kalman filter algorithm in coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems is not enough to obtain the optimal phase noise compensation effect, an adaptive cubature Kalman filter(CKF) algorithm based on the block sub-symbol second-order Hermite interpolation (BSSHI) is proposed. The algorithm first estimates the phase noise values of the time-domain OFDM symbol by using the pilot frequency to perform the first second-order Hermite interpolation, and then each OFDM symbol is divided into several sub-symbols to perform the second second-order Hermite interpolation, and the compensation accuracy is improved by adaptively updating the process noise covariance matrix in the CKF. The simulation demonstrate the superior performance of the proposed algorithm in phase noise compensation compared to similar algorithms, and the robustness of the system is improved by adaptively updating the process noise. Therefore, the proposed algorithm can effectively improve the system performance.

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  • 收稿日期:2025-02-27
  • 最后修改日期:2025-03-24
  • 录用日期:2025-04-09
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