期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2014
期号：ICETS
页码：1295
出版社：S&S Publications
摘要：Micro-Doppler signatures provide uniqueinformation about properties of the target. Thesemicro-Doppler features can be used for real timetarget recognition in military applications andsurveillance operations. In this paper, we presentGabor-Wigner transform for extracting micro-Doppler features from the radar returns. Theeffectiveness of the Gabor-Wigner transform inextracting micro-Doppler features has been comparedwith short-time Fourier transform, WignerDistribution and S-method. The efficiency of theGabor-Wigner transform in micro-Doppler featureextraction is demonstrated by applying it to differentexperimental data sets.
