An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar

被引:58
|
作者
Liang, Xiaolin [1 ,2 ]
Zhang, Hao [1 ,3 ]
Fang, Guangyou [2 ]
Ye, Shengbo [2 ]
Gulliver, T. Aaron [3 ]
机构
[1] Ocean Univ China, Dept Elect Engn, Qingdao 266100, Peoples R China
[2] Chinese Acad Sci, Inst Elect, Key Lab Electromagnet Radiat & Sensing Technol, Beijing 100190, Peoples R China
[3] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 2Y2, Canada
来源
IEEE ACCESS | 2017年 / 5卷
基金
国家高技术研究发展计划(863计划); 中国国家自然科学基金;
关键词
Human micro-motion ultra-wideband (UWB) impulse radar; short-time Fourier transform (STFT); kurtosis; frequency accumulation (FA); arctangent demodulation (AD); VITAL SIGN DETECTION; UWB RADAR; ULTRAWIDEBAND RADAR; TRAPPED VICTIMS; MOVING TARGETS; SYSTEM; RECEIVER; CANCELLATION;
D O I
10.1109/ACCESS.2017.2761771
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the detection and localization of a human subject in complex environments using an ultra-wideband impulse radar. The subject is remotely sensed by extracting micro-motion information, such as the respiration and heartbeat frequencies. It is challenging to extract this information due to the low signal to noise and clutter ratio in typical disaster environments. To improve the localization accuracy, a new method is proposed using the characteristics of vital sign signals. The range is determined using a short-time Fourier transform of the kurtosis and standard deviation of the received signals. Furthermore, an improved arctangent demodulation technique is used to determine the frequency of human micro-motion based on a multiple frequency accumulation method. Performance results are presented, which show that the proposed method is superior to several well-known techniques.
引用
收藏
页码:22101 / 22118
页数:18
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