An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar

Liang, Xiaolin; Zhang, Hao; Fang, Guangyou; Ye, Shengbo; Gulliver, T. Aaron

doi:10.1109/access.2017.2761771

Cited by 68 publications

(43 citation statements)

References 46 publications

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“…By employing the ultra-wide band (UWB) radar, living persons can be extracted based on the changing time delay of pulses modulated by human respiratory movement. The distance is [27]…”

Section: Life Modelmentioning

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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“…By employing the ultra-wide band (UWB) radar, living persons can be extracted based on the changing time delay of pulses modulated by human respiratory movement. The distance is [27]…”

Section: Life Modelmentioning

confidence: 99%

“…Many algorithms for life sign detection have been proposed recently [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. L. Liu analysed the time-frequency characteristic of human respiratory by employing the Hilbert transform based Fourier transform [23][24].…”

Section: Introductionmentioning

confidence: 99%

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

2019

KSII TIIS

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“…Ultra-wideband (UWB) radar has been used to track moving targets and for through-wall imaging because of the good permeability and excellent resolution [6][7][8][9][10][11][12][13]. As a result, it has been proposed for vital sign detection [14][15][16][17][18][19][20][21][22] as shown in Figure 1. In [14], respiration-like clutter was suppressed using an adaptive cancellation method.…”

Section: Introductionmentioning

confidence: 99%

“…Existing vital sign detection techniques are not suitable for trapped victims because they consider only some of the issues, such as removing clutter, determining respiration characteristics, and heart rate estimation [23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41]. An algorithm for vital sign detection based on radar data was developed in [16]. However, this approach is complex and frequently produces false-positive results.…”

Section: Introductionmentioning

confidence: 99%

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

Yang

Qin

Liang³

et al. 2019

Applied Sciences

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Life sign detection is important in many applications, such as locating disaster victims. This can be difficult in low signal to noise ratio (SNR) and through-wall conditions. This paper considers life sign detection using an impulse ultra-wideband (UWB) bio-radar with an improved sensing algorithm for clutter elimination, harmonic suppression and random-noise de-noising. To improve detection performance, two filters are used to improve SNR of these life signs. The automatic gain method is performed in fast time to improve the respiration signals. The spectral kurtosis analysis (SKA)-based windowed Fourier transform (WFT) method and an accumulator in the frequency domain are used to provide two distance estimates between the radar and human subject. Further, the accumulator can also provide the frequency estimate of the respiration signals. These estimates are used to determine if a human is present in the detection environment. Results are presented which show that the range and respiration frequency can be estimated accurately in low signal to noise and clutter ratio (SNCR) environments. In addition, the performance is better than with other techniques given in the literature.

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“…Ultra-wide band (UWB) impulse radar has been widely applied in indoor target localization, VS detection, and human fall detection by employing the continuous wave [5][6][7][8]. As a better alternative, UWB pulse radar has been widely used in moving target detection [3,9,10], through-wall imaging [11,12] and post-earthquake search and rescue [13][14][15] due to its insightful advantages such as strong permeability and excellent time resolution.…”

Section: Introductionmentioning

confidence: 99%

`Through-wall human being detection using UWB impulse radar

Liang

Zhang

et al. 2018

J Wireless Com Network

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Ultra-wideband (UWB) impulse radar plays an important role in contactless vital sign (VS) detection. The VS can be extracted remotely by acquiring the oscillations in the human chest. Unfortunately, it is usually challenging to identify VS due to the low signal-to-noise ratio (SNR) only based on the traditional fast Fourier transform (FFT) especially in complicated conditions. To extract VS accurately, this paper presents a new scheme by analyzing the skewness characteristic of the received UWB impulses, which are modulated by life activities. The distance from the human subject to the radar antenna can be calculated by performing the discrete short-time Fourier transform (DSFT) on skewness. The frequency of human respiratory movement can be estimated based on the developed ensemble empirical mode decomposition (EEMD)-based accumulation technique by canceling out the harmonics effectively. The performance of the developed detection method is tested with several experiments carried out in different environments.

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An Improved Algorithm for Through-Wall Target Detection Using Ultra-Wideband Impulse Radar

Cited by 68 publications

References 46 publications

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

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

Clutter Elimination and Harmonic Suppression of Non-Stationary Life Signs for Long-Range and Through-Wall Human Subject Detection Using Spectral Kurtosis Analysis (SKA)-Based Windowed Fourier Transform (WFT) Method

`Through-wall human being detection using UWB impulse radar

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