采用STFT-Wigner变换抑制Wigner-Ville分布交叉项

Using STFT-Wigner transform to suppress the cross terms in Wiger-Ville distribution

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。

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.