The paper proposes a local linear-periodogram-Kalman filtering (LL-P-KF) hybrid algorithm.Firstly,a local linear method is established;secondly,the periods of sinusoidal signal are detected from modeling error by using periodogram;finally,the sinusoidal signal is recovered from the error by using Kalman filtering.Simulation results show that the LL-P-KF hybrid algorithm has better recovery results.%本文提出一种局域线性-周期图检测-卡尔曼滤波混合算法LL-P-KF,用来恢复强混沌背景下正弦信号.首先,建立混沌信号的一步预测模型;然后,利用周期图检测潜在周期;最后,应用卡尔曼滤波从误差中恢复正弦信号.仿真实验表明该混合算法具有较好的恢复效果.
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