Radar measurements of moving objects around corners in a realistic scene

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

doi:10.1117/12.2049588

Cited by 8 publications

(4 citation statements)

References 18 publications

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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. It is worth mentioning that, for all of these works abovementioned, no positioning of the hidden targets was made.…”

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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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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“…For simple scenarios, validation of a 2D ray-tracer has been proved by comparison with measured data [37]. The ray-tracing technique is also used to generate multipath fingerprints for localization methods based on DOA, time difference of arrival or received signal strength [38][39][40]. However, real-time ray-tracing calculation is time-consuming in complex environments because of its high computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

et al. 2023

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The performance of classic radar geometry based on the line-of-sight (LOS) signal transmitted from radar to the target in the free space is affected by multipath echoes in urban areas, where non-line-of-sight (NLOS) signals reflected by obstacles are received by the radar. Based on prior information of the urban situation, this article proposes a novel two-stage localization algorithm with multipath exploitation in a dense clutter environment. In the offline stage, multipath propagation parameters of uniformly distributed samples in the radar field of view are predicted by the ray-tracing technique. In the online stage, a rough location of the target is estimated by the maximum similarity between measurements and the predicted parameters of reference samples at different locations. The similarity is described by the likelihood between measurements and the predicted multipath parameters with respect to all possible associated hypotheses. A gating threshold is derived to exclude less likely hypotheses and reduce the computational burden. The accurate target location is acquired by a non-linear least squares (NLS) optimization of the associated multipath components. Simulation results in various noise conditions show that the proposed method provides robust and accurate target localization results under dense clutter conditions, and the offline pre-calculation of ray-tracing ensures the real-time performance of the proposed localization algorithm. The root mean square error (RMSE) of simulation results shows the advantage of the proposed method over the existing method. The presented results suggest that the proposed method can be applied to NLOS target localization applications in complex environments.

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“…First papers on this topic have demonstrated, via experiments its feasibility [1]- [3]. Then, several works [4]- [6], have proposed different methods for target localization based on parameters association.…”

Section: Introductionmentioning

confidence: 99%

GLRT Particle Filter for Non-Line of Sight Single Moving Target Tracking via Phased Array Radar

Pham,

Rabaste,

Bosse

et al. 2023

2023 26th International Conference on Information Fusion (FUSION)

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In around the corner radar, particle filter tracking can help to improve the estimation accuracy of a Non-Line of Sight target position. However, in case of using one single receiving antenna, the measurement model only contains multipath delay information. Due to the lack of information in the model, particles corresponding to ambiguous positions can be assigned high weight values. This can leads the particle cloud to diverge from the actual target trajectory and requires several time steps to converge on it again. In this work, our proposed solution consists in exploiting additional Direction-of-Arrival information provided by an array of receiving antennas in the particle filter framework. By simulation and experimentation, we will show that the proposed solution allows to solve the aforementioned problem, and thus achieves better localization results compared to single antenna-based tracking as well as non-tracking localization algorithm.

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Radar measurements of moving objects around corners in a realistic scene

Cited by 8 publications

References 18 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

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

GLRT Particle Filter for Non-Line of Sight Single Moving Target Tracking via Phased Array Radar

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