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.
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.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2012年第6期636-640,共5页
Transactions of Beijing Institute of Technology
基金
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)
关键词
分数阶傅里叶变换
雷达
步态
时频分析
fractional Fourier transform radar gait time-frequency analysis
作者简介
张军（1965-），男，博士，教授，E-mail：junandzhang@126．com．
