摘要
本文提出了一种抑制Wigner-Ville分布(WVD)交叉项的新方法。首先对多幅具有不同时-频分辨率的谱图进行叠加,然后对叠加结果进行阈值处理,确定WVD自项在时频平面的支撑区域。最后,用该区域的示性函数乘以WVD得到一个新的时频分布。不同于传统的抑制交叉项的核函数方法,该方法抑制交叉项的同时,保持WVD了高时频聚集性。实验结果表明,该方法对由多个LFM信号构成的多分量信号和非线性调频信号都非常有效。
In this paper, a new method is proposed to suppress the cross-terms of Wigner-Ville Distribution （WVD）, which is based on thresholding the superimposition of multiple spectrograms. First, the spectrograms with different time-frequency resolutions are superimposed and then the superimposition is thresholded to localize the auto-term support region of the WVD. Secondly, the WVD is multiplied by the indication function of the region. In this way, a new Time-Frequency Distribution （TFD） is obtained. Unlike the traditional kernel function methods to suppress cross terms, our method not only reduces the interfering cross-terms but also preserves the superb time-frequency concentration of the WVD. The experimental results show that the method is very effective for both the multicomponent signals consisted of the LFM＇s and nonlinear frequency modulation chirp signals.
出处
《电子与信息学报》
EI
CSCD
北大核心
2006年第8期1435-1438,共4页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60272058)
国家优秀博士学位论文作者专项基金(200139)
教育部高校青年教师奖基金资助课题
