利用阈值多谱图去除Wigner分布的交叉项

Abstract

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.

CLC Number:

TN911.7

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(01): 10-14,73.

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Removing cross-terms from Wigner distribution via thresholding multiple spectrograms

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