混沌干扰背景下的正弦频率估计新方法

提出一种基于单变量驱动误差滤波反馈混沌同步的强混沌背景下正弦参数估计的方法。该方法利用采样的混合信号(混沌加白噪声和正弦)通过某一类型滤波器,用滤波后信号驱动一新构建的同类响应混沌系统,若混沌同步发生,则驱动响应信号的误差序列中应含有正弦成分,对误差序列采用互谱MUSIC算法估计正弦频率。该方法适于强混沌信号加强白噪声为背景的正弦参数估计。仿真实验表明,该方法简单有效。

New frequency estimation method for sinusoidal signal submerged in strong chaotic background

This paper presents a parameter estimation method for weak sinusoidal signal embedded in chaotic noise.This method is based on error feedback synchronization,in which only one driving variable passing through a filter is used.First,the filtered mixed signals(chaotic signal,white noise and sinusoidal signal) are used to drive a new response chaotic system,which is the same with the driving system.If chaotic synchronization occurs,there exists sinusoidal component in the error data series between driving and response signals.The cross-spectral MUSIC method is used to estimate the sinusoidal frequency in the error data.This method is suitable for the situation where the interference signals are the mixture of strong chaotic signals and white noises.Simulation results show that the proposed method is simple and effective.