摘要
结合高阶累积具有对加性高斯和对称非高斯噪声不敏感的特性,提出了一种基于滤波器组和高阶累积量的特征检测方法。该方法既不需待检信号做高斯和平稳的假设,也不需要有信号的先验知识。其原理是首先通过滤波器组将检测信号在频域上进行分离,选取输出能量较大的一组子频带信号近似给出信号的时频描述;然后在各个选中的子频带内分别计算三阶累积量的短时估计,从而抑制有色噪声,将信号的特征检测出来。仿真信号和实验信号验证了该方法的有效性和适应性,即使信号特征完全淹没在噪声中,也能检测出来。
Based on that higher-order cumulants are insensitive to add-Gaussian noise and symmetric noise,a method for detecting feature of signal embedded in additive noise is presented,in which a filter bank is combined with higher-order cumulants and neither the Gaussian and stationary supposition of the observed signal,nor a prior information about the waveform and arrival time of the observed signal is necessary.The primary principle of the proposed method is to separate the spectrum of the observed signal into narrow frequency bands by using a bandpass filter bank,whose subfilters which have large output energies are chosen to give a time-frequency description of the observed signal approximately,and each chosen subfilter is then followed by a short-time estimation of third-order cumulant so as to suppress colored noise and detect the signal feature.Simulated and experimental results show that the method is effective and practical,even if the signal feature is submerged into noise signal completely.
出处
《振动与冲击》
EI
CSCD
北大核心
2007年第2期29-32,共4页
Journal of Vibration and Shock
基金
国家自然科学基金资助项目(编号:50475087)
关键词
滤波器组
高阶累积量
短时估计
特征检测
filter bank,higher-order cumulant,short-time estimation,feature detection
