Extraction of Human Micro-Doppler Signature in an Urban Environment Using a “Sensing-Behind-the-Corner” Radar

Gustafsson, Magnus; Andersson, Åsa Scott; Johansson, Tommy; Nilsson, S.; Sume, A.; Örbom, Anders

doi:10.1109/lgrs.2015.2504623

Cited by 41 publications

(14 citation statements)

References 10 publications

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“…In [17, 18], the multipath effect is exploited to improve the quality of through‐the‐wall radar imaging. The experimental study in [19] shows that the micro‐Doppler signature reflected from human gait can be extracted by using the indirect‐path echo when the person is behind corners, which presents the potential to achieve micro‐Doppler‐based classification of targets in NLOS regions. In [20], the authors investigate how to extract the multipath micro‐Doppler signatures of a drone in an experimental urban scenario using a single frequency pulse radar.…”

Section: Introductionmentioning

confidence: 99%

Exploitation of multipath micro‐Doppler signatures for drone classification

Zhang

Huo³

et al. 2020

IET Radar, Sonar & Navigation

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Section: Introductionmentioning

confidence: 99%

Exploitation of multipath micro‐Doppler signatures for drone classification

Zhang

Huo³

et al. 2020

IET Radar, Sonar & Navigation

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“…The second type focuses on the target detection by exploiting the multipath reflection and corner diffraction signals [14]- [22]. Assuming that the geometry of the environment is known a priori, the first-and second-order multipath reflection and corner diffraction NLOS signals are exploited to detect the onedimensional (1-D) range of the target with X-band [17], [18] and S-band [19] radars.…”

Section: Behind Corner Targets Location Using Smallmentioning

confidence: 99%

Behind Corner Targets Location Using Small Aperture Millimeter Wave Radar in NLOS Urban Environment

Guo

Zhao

Cui

et al. 2020

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

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It is often difficult to detect the targets of interest via the line-of-sight (LOS) signals in the urban environment, since the LOS signals might be not available because of the presence of the walls. This article considers the target positioning problem via non-LOS signals using the single-input multiple-output small aperture millimeter wave radar. Assume that a target is located around a building corner and the geometric structure is known a priori. The phase comparison based algorithm is proposed, by exploiting the multipath propagation of the electromagnetic wave and the phase differences of the echoes among multiple channels. Finally, we validate the proposed algorithm via real data. Index Terms-Urban environment, NLOS multipath propagation signals, SIMO millimeter wave radar, target positioning. I. INTRODUCTION T HE detection of the targets in the urban environment is of great interests in the military and the civil security fields such as the urban battle, the antiterrorism, the disaster rescue, and the law enforcement arrest [1]-[6]. Unlike conventional radars, the line-of-sight (LOS) signals are often not available because of the presence of the walls. Hence, the targets detection via non-LOS (NLOS) signals has received considerable attention [7]-[22]. These works can be divided into two types with respect to the penetrating signals and the NLOS multipath propagation signals. The first type utilizes the penetrating signal. The propagation path of electromagnetic (EM) wave will be changed due to the refraction when passing through the walls, which will results in several problems such as the target position shift and image defocus. In [8]-[10], three wall parameters estimation methods

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“…Two localization algorithms for locating of targets behind corners using an X-band radar were presented in [10] and [11], respectively. In addition, they extracted the microdoppler signature of human and unmanned aerial vehicle behind the corner of the wall using a "sensing-behind-thecorner" radar [12], [13].…”

Section: Introductionmentioning

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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Extraction of Human Micro-Doppler Signature in an Urban Environment Using a “Sensing-Behind-the-Corner” Radar

Cited by 41 publications

References 10 publications

Exploitation of multipath micro‐Doppler signatures for drone classification

Exploitation of multipath micro‐Doppler signatures for drone classification

Behind Corner Targets Location Using Small Aperture Millimeter Wave Radar in NLOS Urban Environment

On the Electromagnetic Diffraction Propagation Model and Applications

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