[关键词]
[摘要]
对于多分量非平稳信号分析,维格纳时频分布Wigner-Ville(WVD)存在严重的交叉项干扰。而GWT避免了Wigner-Ville分布的交叉项干扰而且具有良好的时频聚集性。但由于Gabor变换的时频聚集性不佳,当多分量信号进行Gabor变换时如果信号中各分量频率混叠,Gabor Wigner transform(GWT)就不能得到理想的结果。提出一种改进的STFT-Wigner算法,可以有效的抑制交叉项,并保持较高的时频聚集性。通过分析仿真信号和实测振动信号表明该方法能够取得良好的效果。
[Key word]
[Abstract]
There is a serious crossing-term problem when Wigner-Ville distribution(WVD) is used to analyze multi-component non-stationary signals. While,using Gabor-Wigner transform(GWT) can avoid the crossing-term problem and maintain the clarity as good as WVD. But as the component frequency of multi-component signals interfere each other,GWT can’t get clear-cut results. A modified STFT-Wigner is proposed to suppress the cross terms in WVD effectively and maintain the clarity. This method is proved to be practical through analyzing simulation signals and experiment signals.
[中图分类号]
[基金项目]
国家自然科学基金资助项目(50905192,51105396);中国博士后科学基金资助项目(2011M501387)