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基于分数阶傅里叶变换步态特征提取
引用本文:张军.基于分数阶傅里叶变换步态特征提取[J].北京理工大学学报,2012,32(6):636-640.
作者姓名:张军
作者单位:天津职业技术师范大学电子工程学院 天津300222
基金项目:天津应用基础及前沿技术研究计划项目(09JCYBJC27300);天津职业技术师范大学发展基金资助项目(KJY11-13)
摘    要:针对短时傅里叶变换等时频分析方法不能提取由腿部和手臂运动产生的细致微多普勒特征这一问题,提出了采用分数阶傅里叶变换的雷达步态信号分析方法.在短时傅里叶分析的基础上,应用分数阶傅里叶变换对步态回波信号进行处理,由实测步态数据生成分数阶傅里叶变换谱图并进行了详细分析.结果表明,通过分数阶傅里叶变换可以从步态数据中提取出手臂、腿部摆动的细致微多普勒特征.

关 键 词:分数阶傅里叶变换  雷达  步态  时频分析
收稿时间:2011/6/22 0:00:00

Extraction of Human Gait Features Based on Fractional Fourier Transforms
ZHANG Jun.Extraction of Human Gait Features Based on Fractional Fourier Transforms[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(6):636-640.
Authors:ZHANG Jun
Institution:Department of Electronic Engineering, Tianjin University of Technology and Education, Tianjin 300222, China
Abstract:Conventional algorithms based on short-time Fourier transform time-frequency analysis can not extract the detailed micro Doppler features caused by motion of different parts of human leg and arm. The fractional Fourier transform (FRFT) is proposed and applied to extract the detail features of gait. The fractional Fourier transform spectrum generated from real measured data is presented and analyzed. Test results show that, by fractional Fourier transform, the detailed micro Doppler features of human limbs swing can be extracted from the experimental gait data.
Keywords:fractional Fourier transform  radar  gait  time-frequency analysis
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