Characterization and Identification of IR-UWB Respiratory-Motion Response of Trapped Victims

Lv, Hao; Li, Wenzhe; Zhao, Li; Yang, Ziqiang; Jiao, Teng; Xue, Huijun; Liu, Miao; Jing, Xijing; Wang, Jianqi

doi:10.1109/tgrs.2014.2309141

Cited by 26 publications

(13 citation statements)

References 24 publications

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“…more intuitive display, we duplicate it to generate a matrix of size 800 × 600, keepi same size as the range-slow-time matrix. The red dots represent the result of clust and the target range output by the method is 3.62 m. Furthermore, the detection method based on a 1D range profile in [34], the det method based on a 2D range-frequency matrix in [35], and the method in [36] wer formed for comparison with the proposed method. Figure 7 shows the result method in [34].…”

Section: Experiments With a Single Targetmentioning

confidence: 99%

“…The detectio at 3.63 m is regarded as the human target signal. The peak at the range of 0.79 m is to estimate the clutter energy, and its correlation coefficient is 0.17, which is lowe Furthermore, the detection method based on a 1D range profile in [34], the detectio method based on a 2D range-frequency matrix in [35], and the method in [36] were pe formed for comparison with the proposed method. Figure 7 shows the result of th method in [34].…”

Section: Experiments With a Single Targetmentioning

confidence: 99%

“…The peak at the range of 0.79 m is to estimate the clutter energy, and its correlation coefficient is 0.17, which is lowe Furthermore, the detection method based on a 1D range profile in [34], the detectio method based on a 2D range-frequency matrix in [35], and the method in [36] were pe formed for comparison with the proposed method. Figure 7 shows the result of th method in [34]. The blue line represents the 1D range profile for detection.…”

Section: Experiments With a Single Targetmentioning

confidence: 99%

“…The automatic identification and detection of respiration signal is rarely studied by scholars. Hao et al [34] proposed a method based on the 1D range profile to automatically identify respiration response. They regard the energy peak as the detection unit and then utilize the correlation to distinguish the respiration signal from the clutter signal.…”

Section: Introductionmentioning

confidence: 99%

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Multiple Stationary Human Targets Detection in Through-Wall UWB Radar Based on Convolutional Neural Network

et al. 2022

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Ultra-wideband (UWB) impulse radar is widely used for through-wall human detection due to its high-range resolution and high penetration capability. UWB impulse radar can detect human targets in non-line-of-sight (NLOS) conditions, mainly based on the chest motion caused by human respiration. The automatic detection and extraction of multiple stationary human targets is still a challenge. Missed alarms often exist if the detection method is based on the energy of the human target. This is mainly because factors such as the range of the target, the intensity of the respiratory movement, and the shadow effect will make a difference between the energy scattered by targets. Weak targets are easily masked by strong targets and thus cannot be detected. Therefore, in this paper, a multiple stationary human targets detection method based on convolutional neural network (CNN) in through-wall UWB impulse radar is proposed. After performing the signal-to-clutter-and-noise ratio (SCNR) enhancement method on the raw radar data, the range-slow-time matrix is fed into a six-layer CNN. Benefiting from the powerful feature extraction capability of CNN, the target point of interest (TPOI) can be extracted from the data matrix. The clustering algorithm is used to simplify the TPOIs to achieve accurate detection of multiple targets behind the wall. The effectiveness of the proposed method is verified by the experimental data.

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Section: Experiments With a Single Targetmentioning

confidence: 99%

Section: Experiments With a Single Targetmentioning

confidence: 99%

Section: Experiments With a Single Targetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiple Stationary Human Targets Detection in Through-Wall UWB Radar Based on Convolutional Neural Network

et al. 2022

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“…Furthermore, the high available bandwidth enables impulse radio ultra-wideband (IR-UWB) systems to use very narrow time-domain pulses, which allow for ranging at centimeter-scale accuracy (Alarifi et al, 2016;Ridolfi et al, 2018) with a high immunity against multipath fading (Kshetrimayum, 2009). Examples of applications include cyclist positioning systems using the Decawave DW1000 IC (Minne et al, 2019), systems for respiration and heartbeat monitoring (Shen et al, 2018), drone localization (Lazzari et al, 2017), and breathing detection of victims buried under building rubble (Lv et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Foldable All‐Textile Cavity‐Backed Slot Antennas for Personal UWB Localization

et al. 2020

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An all‐textile multimoded cavity‐backed slot antenna has been designed and fabricated for body‐worn impulse radio ultra‐wideband (IR‐UWB) operation in the 3,744–4,742.4 MHz frequency band, thereby covering Channels 2 and 3 of the IEEE 802.15.4a standard. Its light weight, mechanical flexibility, and small footprint of 35 mm × 56 mm facilitate integration into textile for radio communication equipment for first aid responders, personal locator beacons, and equipment for localization and medical monitoring of children or the elderly. The antenna features a stable radiation pattern and reflection coefficient in diverse operating conditions such as in free space, when subject to diverse bending radii and when deployed on the torso or upper right arm of a test person. The high isolation toward the wearer's body originates from the antenna's hemispherical radiation pattern with a −3 dB beamwidth of 120∘ and a front‐to‐back ratio higher than 11 dB over the entire band. Moreover, the antenna exhibits a measured maximum gain higher than 6.3 dBi and a radiation efficiency over 75%. In addition, orientation‐specific pulse distortion introduced by the antenna element is analyzed by means of the System Fidelity Factor (SFF). The SFF of the communication link between two instances of this antenna is higher than 94% for all directions within the antenna's −3 dB beamwidth. This easily wearable and deployable antenna is suitable to support IR‐UWB localization with an accuracy in the order of 5 cm.

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