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A simplified adaptive Kalman filter algorithm for carrier recovery of M-QAM signals

机译:用于M-QAM信号载波恢复的简化自适应卡尔曼滤波算法

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The paper proposes a carrier synchronization procedure for high-order QAM modulated signals that uses a decision-directed extended Kalman filtering (EKF) technique. The proposed method combines the Kalman filter with a lock detector to establish the status of the synchronization process, modifying adaptively the Kalman filter parameters. As compared with the complete EKF filter, the proposed synchronization algorithm simplifies the Kalman measurement model to a single scalar equation reducing significantly the computational complexity of the algorithm. Simulations show that the simplified Kalman algorithm has equivalent synchronization performances with the complete EKF filter.
机译:本文提出了一种使用决策导向扩展卡尔曼滤波(EKF)技术的高阶QAM调制信号的载波同步程序。所提出的方法将卡尔曼滤波器与锁定检测器结合起来以建立同步过程的状态,自适应地修改卡尔曼滤波器参数。与完整的EKF滤波器相比,所提出的同步算法将Kalman测量模型简化为单个标量方程式,从而大大降低了算法的计算复杂性。仿真表明,简化的卡尔曼算法与完整的EKF滤波器具有同等的同步性能。

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