A New Measurement Method Based on Music Algorithm for Through-the-Wall Detection of Life Signs

Ascione, M.; Buonanno, Amedeo; D’Urso, M.; Angrisani, L.; Moriello, Rosario Schiano Lo

doi:10.1109/tim.2012.2209917

Cited by 71 publications

(21 citation statements)

References 21 publications

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“…Impulse ultra-wideband (UWB) radar has been widely applied to track moving targets, through-wall imaging and son on due to its excellent time resolution and strong permeability [6][7][8][9][10][11][12][13]. However, extensive researches on life sign detection need to be made based on UWB radar [14][15][16][17][18][19][20][21][22]. In [14], a contactless human subject monitoring system is designed using a Doppler radar based on a four-tiered layer structure.…”

Section: Introductionmentioning

confidence: 99%

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Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

2019

KSII TIIS

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Through-wall ultra-wide band (UWB) radar has been considered as one of the preferred and non-contact technologies for the targets detection owing to the better time resolution and stronger penetration. The high time resolution is a result of a larger of bandwidth of the employed UWB pulses from the radar system, which is a useful tool to separate multiple targets in complex environment. The article emphasised on human subject localization and detection. Human subject usually can be detected via extracting the weak respiratory signals of human subjects remotely. Meanwhile, the range between the detection object and radar is also acquired from the 2D range-frequency matrix. However, it is a challenging task to extract human respiratory signals owing to the low signal to clutter ratio. To improve the feasibility of human respiratory signals detection, a new method is developed via analysing the standard deviation based kurtosis of the collected pulses, which are modulated by human respiratory movements in slow time. The range between radar and the detection target is estimated using joint time-frequency analysis (JTFA) of the analysed characteristics, which provides a novel preliminary signature for life detection. The breathing rates are obtained using the proposed accumulation method in time and frequency domain, respectively. The proposed method is validated and proved numerically and experimentally.

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Section: Introductionmentioning

confidence: 99%

“…The authors proposed an improved imaging system with a higher resolution via employing the UWB transmission, SAR technique, and multiple-input multiple-output (MIMO) array [21]. An improved MUltiple SIgnal Classification (MUSIC) algorithm is proposed for huamn subject detection based on a spatial smoothing decorrelation scheme [22].…”

Section: Introductionmentioning

confidence: 99%

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

2019

KSII TIIS

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“…However, parameter estimation methods by an array antenna can overcome this limitation of size. Multiple signal classification (MUSIC) is a well-known array processing method for high-resolution angular estimation [3][4][5], and its applications are being extended to various areas [6][7][8][9]. In this method, angle resolution is independent of the aperture size with ideal assumptions, such as uncorrelated signals, high signal-to-noise ratio (SNR), and large samples [10,11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of High-Resolution Angle Estimator for an Unmanned Ground Vehicle

Cha¹,

Yeom²,

Kim³

2015

Journal of electromagnetic engineering and science

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We implemented a real-time radar system for an unmanned ground vehicle designed to run on unpaved or bumpy roads. The system must be able to detect slow targets in a cluttered environment and cover wide angular sections with high resolution at the same time. The system consists of array antennas, preprocessors for digital beam forming, and digital signal processors for the detection process which uses sawtooth waveforms and high-resolution estimation, and is called forward/backward spatial smoothing beamspace multiple signal classification (FBSS BS-MUSIC). We show that the sawtooth waveforms enhance the angular estimation capability of FBSS BS-MUSIC in addition to their well-known advantages of removing the ambiguity of targets and detecting slow targets with improved velocity resolution. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ⓒ

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“…Over the past decade, miniaturized microwave Doppler radar systems called Doppler radar sensors (DRSs) have been attracting more and more interest from the microwave community [3]- [8]. Inheriting the properties of simple structure, high sensitivity, and narrow spectrum occupancy from single-frequency continuous-wave (CW) radars, DRSs are considered to have a wide range of potential applications, such as mechanical vibration measurement [3], cardiopulmonary monitoring [4], victims search and rescue [5], through-wall life detection [6], displacement sensing, and low velocity measurement [7]. Recently, integrated DRSs have been reported [8], implying that low-cost mass-produced "micro-radars" will find a variety of applications, including biomedical and healthcare applications, in civilian markets in the near future.…”

Section: Introductionmentioning

confidence: 99%

High Dynamic-Range Motion Imaging Based on Linearized Doppler Radar Sensor

Qiao

et al. 2014

IEEE Trans. Microwave Theory Techn.

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Miniaturized Doppler radar sensor (DRS) for noncontact motion detection is a hot topic in the microwave community. Previously, small-scale physiological signals such as human respiration and heartbeat rates are the primary interest of study. In this paper, we propose a comprehensive approach that can be used to improve the demodulation linearity of microwave DRSs, such that detailed time-domain motion information ranging from micro-scale to large scale can be accurately reconstructed. Experiments show that based on a digital-IF receiver architecture, dynamic dc offset tracking, and the extended differentiate and crossmultiply arctangent algorithm, the displacement and velocity of both micrometer-scale vibration of a tuning fork and meter-scale human walking can be accurately recovered. Our work confirms that substantial time-domain motion information is carried by the signals backscattered from moving objects. Retrieval of such information using DRSs can be potentially used in a wide range of healthcare and biomedical applications, such as motion pattern recognition and bio-signal measurements.Index Terms-Digital-IF receiver, Doppler radar sensor (DRS), extended differentiate and cross-multiply (DACM), gradient descent, motion imaging.

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A New Measurement Method Based on Music Algorithm for Through-the-Wall Detection of Life Signs

Cited by 71 publications

References 21 publications

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

Detection of Breathing Rates in Through-wall UWB Radar Utilizing JTFA

Implementation of High-Resolution Angle Estimator for an Unmanned Ground Vehicle

High Dynamic-Range Motion Imaging Based on Linearized Doppler Radar Sensor

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