Around-the-corner radar: Detection and localization of a target in non-line of sight

Thai, Khac-Phuc-Hung; Rabaste, Olivier; Bosse, Jonathan; Poullin, Dominique; Hinostroza, Israel; Letertre, Thierry; Chonavel, Thierry

doi:10.1109/radar.2017.7944320

Cited by 37 publications

(16 citation statements)

References 11 publications

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“…It is worth mentioning that, for all of these works abovementioned, no positioning of the hidden targets was made. To address the corner target positioning problem, a few techniques have been developed [20]- [24]. In [20], a NLOS target detection-localization algorithm based on a matched subspace filter approach that works in the target state space directly is proposed.…”

Section: Behind Corner Targets Location Using Smallmentioning

confidence: 99%

“…To address the corner target positioning problem, a few techniques have been developed [20]- [24]. In [20], a NLOS target detection-localization algorithm based on a matched subspace filter approach that works in the target state space directly is proposed. The target position is determined by using scene transfer Green's function involving different multipath reflection and corner diffraction propagation paths [21], and by the intersection of two circles, which are related to the first-order multipath reflection path and the diffraction path [22], respectively.…”

Section: Behind Corner Targets Location Using Smallmentioning

confidence: 99%

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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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Section: Behind Corner Targets Location Using Smallmentioning

confidence: 99%

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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show abstract

“…The results obtained show that in real scenes, it is possible to retrieve the target location even with only rough knowledge of the scene geometry. Note that part of the experimental work was presented in [16].…”

Section: January 23 2019 Draftmentioning

confidence: 99%

Detection–Localization Algorithms in the Around-the-Corner Radar Problem

Thai

Rabaste

Bosse

et al. 2019

IEEE Trans. Aerosp. Electron. Syst.

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Detection and localization in urban environments is a very recent radar problem. In this article, we investigate the possibility of detecting and locating targets in NLOS areas with a single portable radar by exploiting multipath returns. We propose two algorithms which handle the information provided by multipath returns in different ways to detect and estimate the NLOS target position. We also present an original method to select the number of paths to take into account in the algorithms in order to maximize detection probabilities. Numerical results show good efficiency of the proposed algorithms for problems of both detection and localization. We show that applying these algorithms improves detection performance compared to a classic matched filter in a typical urban scenario. Experimental results on a real data set allow us to validate our multipath model in urban environments, and in particular to show that it is possible to retrieve the target location even with rough knowledge of the scene geometry.

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“…In addition, several articles have exploited the millimeter wave radar to detect the hidden targets [16]- [18]. In [17], a detection and localization algorithm based on the matched subspace filter method was developed, and in [18], Zhao et al proposed a phase comparison based target localization algorithm by exploiting the phase differences of the multipaths among multiple channels of a single-input multiple-output (SIMO) millimeter wave radar. Furthermore, the feasibility of NLOS targets detection by terahertz waves have been demonstrated in [19].…”

Section: Introductionmentioning

confidence: 99%

NLOS Target Localization Behind an L-Shaped Corner With an L-Band UWB Radar

et al. 2020

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For the reason of target multipaths ambiguities, localization for hidden moving target due to lack of line of sight (LOS) path in urban environments is a hard task. To handle this problem we propose a localization algorithm based on the internal connection of these multipaths in this paper. First, we establish an electromagnetic (EM) propagation model based on the characters of the measured signal received by an L-band single-input single-output (SISO) ultra-wideband (UWB) radar. After that, the model-based target localization algorithm is proposed based on a times-of-arrival (TOAs) association method, which is able to match the measured TOAs with the corresponding EM propagation paths correctly. The proposed method can cope with the case while some missing detections of TOAs happen. Simulation and experimental results ultimately validate the robustness and the state-of-the-art performance of the proposed algorithm. INDEX TERMS NLOS target localization, corner environment, UWB radar, multipath exploitation. GUOLONG CUI (Senior Member, IEEE) received the B.S. degree in electronic information engineering and the M.S. and Ph.D. degrees in signal and information processing from the

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Around-the-corner radar: Detection and localization of a target in non-line of sight

Cited by 37 publications

References 11 publications

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

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

Detection–Localization Algorithms in the Around-the-Corner Radar Problem

NLOS Target Localization Behind an L-Shaped Corner With an L-Band UWB Radar

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