A Study on the Micro-Doppler Signature Enhanced Technique for the
Finer-Grained Human Activity Signal Acquired by the SFCW Bio-radar
QI Fu-guia, YUE Chaob,LIANG Fu-laia, LV Haoa,LI Chuan-taoa, LI Zhaoa,LIU Miaoa, WANG Jian-qia
a.Teaching and Research Section of
Electronics, School of Biomedical
Engineering; b.No.16 Company of the 4th
Battalion, Student Brigade,the Fourth
Military Medical University, Xi’an
Shaanxi 710032, China
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
finer-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 finer-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 finer-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 reflected
in the time-frequency representation was enhanced significantly. Conclusion The technique guaranteed
the integrity and primitive characteristics of the signal and laid a good foundation for analyzing
effectively and recognizing accurately the finer-grained human activity when detecting through-wall or
remotely.
祁富贵a，岳超b，梁福来a，吕昊a，李川涛a，李钊a，刘淼a，王健琪a. 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.
QI Fu-guia, YUE Chaob,LIANG Fu-laia, LV Haoa,LI Chuan-taoa, LI Zhaoa,LIU Miaoa, WANG Jian-qia. A Study on the Micro-Doppler Signature Enhanced Technique for the
Finer-Grained Human Activity Signal Acquired by the SFCW Bio-radar. China Medical Devices, 2016, 31(2): 39-43.
