Human detection based on the condition number in the non-stationary clutter environment using UWB impulse radar

In, Changdon; Lim, Dong-Woo; Kang, Jae-Mo; Jae-Hwan, Lee; Kim, Hyung-Myung; Kim, Seongdo; Kim, Cheonsoo

doi:10.1109/apmc.2013.6695005

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…The most common CFAR detectors [ 56 ] include cell averaging CFAR (CA-CFAR), cell averaging with greatest CFAR (CAGO-CFAR), and ordered statistics (OS-CFAR). The second detection method mainly uses the statistical characteristics of the received signal like skewness [ 57 ], kurtosis [ 58 ], standard deviation [ 59 , 60 ], variance [ 61 ], entropy [ 62 ], energy [ 63 , 64 , 65 ], etc. The third detection method is based on the multi-path model of the radar return signal.…”

Section: Obtaining Human Informationmentioning

confidence: 99%

The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar

Yang

Zhu

Zhang

et al. 2021

Sensors

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Obtaining information (e.g., position, respiration, and heartbeat rates) on humans located behind opaque and non-metallic obstacles (e.g., walls and wood) has prompted the development of non-invasive remote sensing technologies. Due to its excellent features like high penetration ability, short blind area, fine-range resolution, high environment adoption capabilities, low cost and power consumption, and simple hardware design, impulse radio ultra-wideband (IR-UWB) through-wall radar has become the mainstream primary application radar used for the non-invasive remote sensing. IR-UWB through-wall radar has been developed for nearly 40 years, and various hardware compositions, deployment methods, and signal processing algorithms have been introduced by many scholars. The purpose of these proposed approaches is to obtain human information more accurately and quickly. In this paper, we focus on IR-UWB through-wall radar and introduce the key advances in system design and deployment, human detection theory, and signal processing algorithms, such as human vital sign signal measurement methods and moving human localization. Meanwhile, we discuss the engineering pre-processing methods of IR-UWB through-wall radar. The lasts research progress in the field is also presented. Based on this progress, the conclusions and the development directions of the IR-UWB through-wall radar in the future are also preliminarily forecasted.

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Section: Obtaining Human Informationmentioning

confidence: 99%

The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar

Yang

Zhu

Zhang

et al. 2021

Sensors

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“…Journal of Sensors micromovement if there is person in the detection environment, which means there is only one data related to human body's micromovement that fluctuates. To determine the distance range that contains the most obvious vital sign signals in the radar echo matrix W, it is necessary to analyze the statistical characteristics of the slow-time direction data (for example, kurtosis [30], standard deviation [35], and variance [26]). Time domain signals can be divided into dimensionless eigenvalues and dimensionless eigenvalues according to whether they are dimensionless.…”

Section: Range Detection and Echomentioning

confidence: 99%

Applications of TVF‐EMD in Vital Signal Detection for UWB Radar

Yang

Chi

et al. 2021

Journal of Sensors

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When using pulsed ultra-wideband radar (UWB) noncontact detection technology to detect vital signs, weak vital signs echo signals are often covered by various noises, making human targets unable to identify and locate. To solve this problem, a new method for vital sign detection is proposed which is based on impulse ultra-wideband (UWB) radar. The range is determined based on the continuous wavelet transform (CWT) of the variance of the received signals. In addition, the TVF-EMD method is used to obtain the information of respiration and heartbeat frequency. Fifteen sets of experiments were carried out, and the echo radar signals of 5 volunteers at 3 different distances were collected. The analysis results of the measured data showed that the proposed algorithm can accurately and effectively extract the distance to the target human and its vital signs information, which shows vast prospects in research and application.

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Imaging of Human Walking Behind the Obstacle Utilizing Pulsed Radar Technique in the C-Band for Military Surveillance Applications

Lee

Shaker

Melek

2020

J. Electr. Eng. Technol.

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Human detection based on the condition number in the non-stationary clutter environment using UWB impulse radar

Cited by 7 publications

References 5 publications

The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar

The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IR-UWB Through-Wall Radar

Applications of TVF‐EMD in Vital Signal Detection for UWB Radar

Imaging of Human Walking Behind the Obstacle Utilizing Pulsed Radar Technique in the C-Band for Military Surveillance Applications

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