Estimation of Human Gait Cycle Based on Cepstrum of Radar Micro-doppler Signatures

被引：0
|
作者：
Lei, Peng [1 ]
Zhang, Yuan [1 ]
Wang, Jun [1 ]
Sun, Jinping [1 ]
机构：
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
来源：
2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL) | 2017年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Doppler radar is one of promising approaches for human activity measurement and recognition. An estimation method of human gait cycle is proposed based on the power cepstrum of radar micro-Doppler signatures. To restrain the impact of noise, harmonics and other interference on cepstrum analysis, the time-frequency segmentation is introduced to identify the valid frequency range in the spectrum. Besides, motivation and theoretical feasibility of the method is also presented. The results of experimental data collected by an X-band radar demonstrate its effectiveness as well as advantages over spectrogram based estimation.
引用
收藏
页码：2356 / 2359
页数：4
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