提取强混沌干扰中谐波信号的方法

提出一种新的从强混沌干扰中提取谐波信号的方法. 根据混沌的几何性质, 应用相空间重构技术和离散小波变换, 建立一种新的相空间投影方法, 将谐波信号分离出来, 并对含噪谐波信号进行功率谱密度估计, 提取谐波信号的频率, 利用小波滤波和最小二乘估计, 提高谐波信号的提取精度. 通过计算机仿真实验, 表明该方法非常有效. 

Extraction Method of Harmonic Signals from Strong Chaotic Interference

A novel method was proposed to extract harmonic signals from measured data contaminated with chaotic interference. A new phase space projection method was established to separate harmonic signals from strong chaos by combining phase space reconstruction with wavelet transformation based on the geometry of chaos. Power spectrum density estimation was used to extract the frequency of harmonic signals, and extraction accuracy for harmonic signals was raised by means of wavelet filtering and least-squares estimation. The excellent results were achieved from computer simulation experiments, which verify the effectiveness of the approach.