MIMO through-wall radar 3-D imaging of a human body in different postures

Liu, Jiangang; Jia, Yong; Kong, Lingjiang; Xiao-bo, Yang; Liu, Qing

doi:10.1080/09205071.2016.1159996

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…In order to verify that EM wave can propagate from T x to Rx by diffraction path in the single building corner scenario, an EM simulation experiment is conducted. The simulation is completed with XFDTD software, which is based on the finite-difference time-domain solver [24]. We consider a 10 m× 10 m building corner scenario, in which the transmitting antenna T x is located at (1.0 m, −1.0 m) and the receiving antenna Rx is located at (−1.0 m, 3.0 m).…”

Section: A Nlos Propagation Modelmentioning

confidence: 99%

On the Electromagnetic Diffraction Propagation Model and Applications

Cui

Guo

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Detection and localization of nonline-of-sight (NLOS) hidden target in complex urban environment is a very recent radar detection problem. In this article, we investigate the possibility of locating a target in a building corner NLOS region with a single-input single-output ultra-wideband radar by exploring the electromagnetic (EM) diffraction propagation path. The EM wave diffraction phenomenon referring to this single rectangular corner of the building is analyzed and the diffraction model in this scenario is established. Assuming that the geometric structure of the scenario is known earlier, we introduce an application of the destination location behind the corner based on the propagation of the EM wave diffraction. Finally, the numerical simulation and real data results demonstrate that a micromotion target and moving target can be localized exploiting the proposed approach. Index Terms-Electromagnetic (EM) diffraction propagation, nonline-of-sight (NLOS) signal, target localization, urban environment, ultra-wideband (UWB) radar.

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Section: A Nlos Propagation Modelmentioning

confidence: 99%

On the Electromagnetic Diffraction Propagation Model and Applications

Cui

Guo

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Under the condition of penetration detection, such as wall penetration, the estimated target location is displaced from the real target location due to the penetration decline of propagation velocity. For the purpose of correcting the displacement, assuming that the electromagnetic waves vertically propagate in the wall, the approximate compensation of wall penetration is performed as presented in [6] to modify the extracted target ranges from two radars. Specifically, with the prior information of wall thickness d w and relative permittivity w , target ranges d 1 and d 2 are modified as 15, we can obtain a better estimation of target location with smaller displacement in comparison to that without wall compensation.…”

Section: Target Identification and Localizationmentioning

confidence: 99%

“…As an emerging technology, ultra-wideband (UWB) radars are widely used in the field of life detection with the development of signal-processing technology. Especially in post-disaster rescue, anti-terrorism, and fall detection, the non-line-of-sight, long-range, and anti-interference characteristics make the radar an effective monitoring tool [1][2][3][4][5][6][7][8][9][10]. Therefore, it is of great practical significance to apply the radar to the detection and localization of human targets trapped behind obstructions.…”

Section: Introductionmentioning

confidence: 99%

Detection and Localization for Multiple Stationary Human Targets Based on Cross-Correlation of Dual-Station SFCW Radars

et al. 2019

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This paper demonstrates the feasibility of detection and localization of multiple stationary human targets based on cross-correlation of the dual-station stepped-frequency continuous-wave (SFCW) radars. Firstly, a cross-correlation operation is performed on the preprocessed pulse signals of two SFCW radars at different locations to obtain the correlation coefficient matrix. Then, the constant false alarm rate (CFAR) detection is applied to extract the ranges between each target and the two radars, respectively, from the correlation matrix. Finally, the locations of human targets is calculated with the triangulation localization algorithm. This cross-correlation operation mainly brings about two advantages. On the one hand, the cross-correlation explores the correlation feature of target respiratory signals, which can effectively detect all targets with different signal intensities, avoiding the missed detection of weak targets. On the other hand, the pairing of two ranges between each target and two radars is implemented simultaneously with the cross-correlation. Experimental results verify the effectiveness of this algorithm.

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“…Through‐the‐wall radar imaging (TWRI) is an emerging technology for detecting the unknown targets on enclosed structure or obtaining the layout of the building, which is widely applied in the civilian and military fields such as rescue missions, surveillance, and antiterrorism. Compared with the conventional 2D TWRI, 3D TWRI can provide more information of the region of interest, which has been received considerable attention recently [1–5]. The multipath ghosts caused by reflections from the interior walls, floor, and ceiling can be confused with true targets, which would significantly deteriorate the detection performance of TWRI.…”

Section: Introductionmentioning

confidence: 99%