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Sensors 2016, 16(8), 1293;

Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editors: Changzhi Li, Roberto Gómez-García and José-María Muñoz-Ferreras
Received: 13 June 2016 / Revised: 25 July 2016 / Accepted: 30 July 2016 / Published: 15 August 2016
(This article belongs to the Special Issue Non-Contact Sensing)
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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. View Full-Text
Keywords: ultra-wideband radar; variational mode decomposition; time-frequency analysis; through-wall detection ultra-wideband radar; variational mode decomposition; time-frequency analysis; through-wall detection

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Yan, J.; Hong, H.; Zhao, H.; Li, Y.; Gu, C.; Zhu, X. Through-Wall Multiple Targets Vital Signs Tracking Based on VMD Algorithm. Sensors 2016, 16, 1293.

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