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.

Highlights

  • Through-wall detection has become a fundamental topic in homeland security, rescue missions and obscured objects detecting applications in recent years [1,2,3,4,5,6,7,8]

  • Different from other radar systems, UWB radar system has strong penetrating power compare to the optical system, and has high range resolution and good resolving ability compare to the continuous wave (CW) radar system [9,10,11,12,13,14]

  • This technique is based on the detection of significant features of human periodic motions, and UWB radar is a great candidate to receive signals containing periodic motions information from human targets related to the periodic contraction of lungs and the beating of hearts in the process of breathing and heartbeat respectively

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Summary

Introduction

Through-wall detection has become a fundamental topic in homeland security, rescue missions and obscured objects detecting applications in recent years [1,2,3,4,5,6,7,8]. With the development of remote biomedical monitoring, Doppler radar detection of vital signs has become a promising technique for health monitoring and life sensing applications [19,20,21,22,23] This technique is based on the detection of significant features of human periodic motions, and UWB radar is a great candidate to receive signals containing periodic motions information from human targets related to the periodic contraction of lungs and the beating of hearts in the process of breathing and heartbeat respectively. The UWB system has high resolution and could provide great penetration It could provide high accuracy and separation in through-wall multiple targets vital signs detecting applications.

Theory of UWB Radar Vital Signs Measurement
Determine Traversed Range Bins
Respiration Signals Separation with the VMD Algorithm
Calculation of Instantaneous Frequency
UWB Radar System and Experimental results
Two Targets with Constant Respiration Rates
Two Targets with Piecewise-Constant Respiration Rates
Two Targets with Time-Varying Respiration Rates
Three Targets with Constant Respiration Rates
Findings
Conclusions
Full Text
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