利用阈值多谱图去除Wigner分布的交叉项

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (1): 10-14,73.

利用阈值多谱图去除Wigner分布的交叉项

郭永明, 水鹏朗

西安电子科技大学雷达信号处理国家重点实验室, 陕西, 西安, 710071

收稿日期:2007-07-30 修回日期:2007-11-29 出版日期:2009-01-20 发布日期:2010-01-03
作者简介:郭永明(1966- ),男,博士研究生,主要研究方向为信号与信息处理,信号检测.E-mail:ym_guo@126.com

Removing cross-terms from Wigner distribution via thresholding multiple spectrograms

GUO Yong-ming, SHUI Peng-lang

National Lab. of Radar Signal Processing, Xidian Univ., Xi’an 710071, China

Received:2007-07-30 Revised:2007-11-29 Online:2009-01-20 Published:2010-01-03

摘要/Abstract

摘要： 提出了一种阈值多谱图估计WD自项支撑区域,从而去除WD交叉项的新方法。所获得的TF分布拥有好的TF聚集性和极少的交叉项。WD自项支撑是从具有高斯线性调频窗(GLCW)的谱图集合中估计出来的。通过形态学滤波估计出所有谱图的自项支撑,然后所有自项支撑的交集用来作为WD的自项支撑估计。此外对于具有GLCW的线性调频信号的谱图集合的联合分辨力进行了详细的讨论。实验结果说明了该方法的良好性能。

Abstract: A new method is proposed to remove cross-terms from the WD by thresholding multiple spectrograms,which is based on estimation of auto-term support of the WD.The obtained TF distribution has high TF concentration and few cross-terms.The auto-term support of the WD is estimated from a set of spectrograms with Gaussian linear chirp windows(GLCW’s),where the auto-term supports of all the spectrograms are estimated by thresholding the spectrograms followed by morphological filtering,and then the intersection set of all the estimated supports is used as the auto-term support estimate of the WD.On the other hand,the joint resolution power of a set of spectrograms with GLCW’s for linear frequency modulation signals is discussed and defined in detail.Some experimental results are provided to demonstrate the good performance of the method.

中图分类号:

TN911.7

郭永明, 水鹏朗. 利用阈值多谱图去除Wigner分布的交叉项[J]. Journal of Systems Engineering and Electronics, 2009, 31(1): 10-14,73.

GUO Yong-ming, SHUI Peng-lang. Removing cross-terms from Wigner distribution via thresholding multiple spectrograms[J]. Journal of Systems Engineering and Electronics, 2009, 31(1): 10-14,73.

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