title: Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm.
abstract: Targets located at the same distance are easily neglected in most through-wall multiple targets detecting applications which use the single-input single-output (SISO) ultra-wideband (UWB) radar system. In this paper, a novel multiple targets vital signs tracking algorithm for through-wall detection using SISO UWB radar has been proposed. Taking advantage of the high-resolution decomposition of the Variational Mode Decomposition (VMD) based algorithm, the respiration signals of different targets can be decomposed into different sub-signals, and then, we can track the time-varying respiration signals accurately when human targets located in the same distance. Intensive evaluation has been conducted to show the effectiveness of our scheme with a 0.15 m thick concrete brick wall. Constant, piecewise-constant and time-varying vital signs could be separated and tracked successfully with the proposed VMD based algorithm for two targets, even up to three targets. For the multiple targets' vital signs tracking issues like urban search and rescue missions, our algorithm has superior capability in most detection applications.
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. jamlff2494@163.com.
authors.forename: Jiaming
authors.initials: J
authors.lastname: Yan
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. hongnju@njust.edu.cn.
authors.forename: Hong
authors.initials: H
authors.lastname: Hong
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. soniczhao@live.com.
authors.forename: Heng
authors.initials: H
authors.lastname: Zhao
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. leassun@126.com.
authors.forename: Yusheng
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. gc_njust@163.com.
authors.forename: Chen
authors.initials: C
authors.lastname: Gu
authors.affiliation: School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. zxh_njust@126.com.
authors.forename: Xiaohua
authors.initials: X
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D011825:Radar / Q000295:instrumentation*; D056152:Respiratory Rate / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055986:Vital Signs / Q000502:physiology
keywords: through-wall detection; time-frequency analysis; ultra-wideband radar; variational mode decomposition