A Novel Through-Wall Respiration Detection Algorithm Using UWB Radar

被引：0
|
作者：
Li, Xin [1 ]
Qiao, Dengyu [1 ]
Li, Ye [1 ]
Dai, Huhe [1 ]
机构：
[1] Chinese Acad Sci, Key Lab Hlth Informat, Shenzhen Inst Adv Technol, Beijing 100864, Peoples R China
来源：
2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2013年
关键词：
SIGNAL; MOTION;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Through-wall respiration detection using Ultra-wideband (UWB) impulse radar can be applied to the post-disaster rescue, e. g., searching living persons trapped in ruined buildings after an earthquake. Since strong interference signals always exist in the real-life scenarios, such as static clutter, noise, etc., while the respiratory signal is very weak, the signal to noise and clutter ratio (SNCR) is quite low. Therefore, through-wall respiration detection using UWB impulse radar under low SNCR is a challenging work in the research field of searching survivors after disaster. In this paper, an improved UWB respiratory signal model is built up based on an even power of cosine function for the first time. This model is used to reveal the harmonic structure of respiratory signal, based on which a novel high-performance respiration detection algorithm is proposed. This novel algorithm is assessed by experimental verification and simulation and shows about a 1.5dB improvement of SNR and SNCR.
引用
收藏
页码：1013 / 1016
页数：4
相关论文
共 50 条
  • [31] Sense through wall human detection using UWB radar
    Sukhvinder Singh
    Qilian Liang
    Dechang Chen
    Li Sheng
    EURASIP Journal on Wireless Communications and Networking, 2011
  • [32] Sense through wall human detection using UWB radar
    Singh, Sukhvinder
    Liang, Qilian
    Chen, Dechang
    Sheng, Li
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2011,
  • [33] Through-Wall Shape Estimation Based on UWB-SP Radar
    Wu, Shiyou
    Xu, Yanyun
    Chen, Jie
    Meng, Shengwei
    Fang, Guangyou
    Yin, Hejun
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (05) : 1234 - 1238
  • [34] Through-wall imaging and characterization of human activity using ultrawideband (UWB) random noise radar
    Lai, CP
    Narayanan, RM
    SENSORS, AND COMMAND, CONTROL, COMMUNICATIONS, AND INTELLIGENCE (C31) TECHNOLOGIES FOR HOMELAND SECURITY AND HOMELAND DEFENSE IV, PTS 1 AND 2, 2005, 5778 : 186 - 195
  • [35] Through-wall imaging and characterization of human activity using ultrawideband (UWB) random noise radar
    Lai, Chieh-Ping
    Narayanan, Ram M.
    Proc SPIE Int Soc Opt Eng, PART I (186-195):
  • [36] Multiple Stationary Human Targets Detection in Through-Wall UWB Radar Based on Convolutional Neural Network
    Shi, Cheng
    Zheng, Zhijie
    Pan, Jun
    Ni, Zhi-Kang
    Ye, Shengbo
    Fang, Guangyou
    APPLIED SCIENCES-BASEL, 2022, 12 (09):
  • [37] Design of UWB Antenna Array for Through-Wall Detection System
    Elboushi, A.
    Joanes, D.
    Derbas, M.
    Khaled, S.
    Zafar, A.
    Attabibi, S.
    Sebak, A. R.
    2013 IEEE SYMPOSIUM ON WIRELESS TECHNOLOGY & APPLICATIONS (ISWTA2013), 2013, : 349 - 354
  • [38] Through-Wall Moving Target Tracking Algorithm in Multipath Using UWB Radar (Jan, 10.1109/LGRS.2021.3050501, 2021)
    Dong, Jiawei
    Li, Yanlei
    Guo, Qichang
    Liang, Xingdong
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [39] Through-Wall Multistatus Target Identification in Smart and Autonomous Systems With UWB Radar
    Wang, Wei
    Wang, Dan
    Zhang, Baoju
    Li, Tao
    Jiang, Shu
    IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (05): : 3278 - 3288
  • [40] Through-wall radar vision
    不详
    R&D MAGAZINE, 2003, 45 (08): : 36 - 36
12345