中国医疗设备2016，Vol.31Issue(2)：39-43,94,6.DOI:10.3969/j.issn.1674-1633.2016.02.009
SFCW生物雷达人体细粒度运动信号微多普勒特征增强方法研究
A Study on the Micro-Doppler Signature Enhanced Technique for the Finer-Grained Human Activity Signal Acquired by the SFCW Bio-radar
摘要
Abstract
Objective A comprehensive distance accumulation time-frequency transform method based on the anti-weights factor is proposed in this study, so as to enhance the micro-Doppler signatures of the ifner-grained human activity, which would be weakened dramatically due to the process of penetrating the wall and the increasing detection range, which is not conducive to effective analysis and accurate recognition of ifner-grained human activity. Methods The corresponding time-frequency representation (TFR) was obtained by performing a time-frequency transform in each range based on the stepped frequency continuous wave radar signal of the ifner-grained human activity. Results A comprehensive time-frequency representation was obtained from the summation of the different TFRs based on their corresponding weight along the range axis. Consequently, the time-micro-Doppler signature relfected in the time-frequency representation was enhanced signiifcantly.Conclusion The technique guaranteed the integrity and primitive characteristics of the signal and laid a good foundation for analyzing effectively and recognizing accurately the ifner-grained human activity when detecting through-wall or remotely.关键词
超宽带生物雷达/人体细粒度运动/穿墙探测/反权重系数/步进频连续波/微多普勒Key words
ultra-wideband radar/ifner-grained human activity/through-wall detection/anti-weights factor/distance accumulation/micro-Doppler分类
信息技术与安全科学引用本文复制引用
祁富贵,岳超,梁福来,吕昊,李川涛,李钊,刘淼,王健琪..SFCW生物雷达人体细粒度运动信号微多普勒特征增强方法研究[J].中国医疗设备,2016,31(2):39-43,94,6.基金项目
国家重大科研仪器设备研制专项（61327805）；国家科技支撑计划课题（2014BAK12B02）。 （）
