Application of Improved Cohen Bilinear Time-frequency Distribution for Doppler Motion Feature Extraction

被引：0

作者：

Wang, Xi ^{[1
]}

Chen, Zhuo ^{[1
]}

He, JiaWu ^{[2
]}

Zhu, Gang ^{[1
]}

机构：

[1] Acad Armored Forces Engn, Dept Informat Engn, Beijing, Peoples R China

[2] Acad Armored Forces Engn, Dept Sci Res, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2017 7TH INTERNATIONAL CONFERENCE ON ADVANCED DESIGN AND MANUFACTURING ENGINEERING (ICADME 2017) | 2017年 / 136卷

关键词：

Doppler motion; feature extraction; human gait; time-frequency distribution;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Doppler signals of body movement are measured and collected by using X-band continuous wave radar to extract the human motion characteristics of radar echo. In order to suppress the cross terms more effective and retain the high resolution time frequency resolution, This paper construct a window function to the kernel function of Cohen bilinear time-frequency distribution, thus obtain a improved type of Cohen time-frequency distribution. We achieve good result in extraction of micro Doppler frequency characteristics of human gait.

引用

页码：145 / 148

页数：4

共 6 条

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