NLOS Building Layout and Target Estimation in an L-Shaped Corner with Complex Geometries

Non-line-of-sight (NLOS) detection endows radar with the capability to sense visually obscured targets. However, existing algorithms rely on prior knowledge of the scene and assume that the layout is simple and regular, which restricts their applicability in practice. To address the above problems,...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2024-12, p.1-1
Main Authors: Xue, Shucheng, Chen, Jiahui, Guo, Shisheng, Valkama, Mikko, Zhu, Zhihao, Xu, Zihan, Wu, Peilun, Cui, Guolong
Format: Article
Language:English
Subjects:
building layout reconstruction
Buildings
complex geometries
Diffraction
Layout
Location awareness
Non-line-of-sight (NLOS) detection
Radar
Radar detection
Radar tracking
Reflection
Shape
single-input single-output (SISO) radar
target localization
Target tracking
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Summary:Non-line-of-sight (NLOS) detection endows radar with the capability to sense visually obscured targets. However, existing algorithms rely on prior knowledge of the scene and assume that the layout is simple and regular, which restricts their applicability in practice. To address the above problems, this paper proposes a method for target localization and building layout reconstruction in L-shaped corner with complex geometries. Specifically, the time of arrivals (ToAs) of multipaths, containing information about NLOS target and scenario, are extracted using the data preprocessing method. Next, the nearest-neighbor (NN) algorithm is utilized to track and correlate the extracted ToAs. Then, based on the least squares (LS) method, the ToAs corresponding to diffraction, first-order reflection and second-order reflection paths are identified or complemented. Among them, the first two serve for the target localization, while the ToAs of second-order reflection are applied to accomplish the building layout reconstruction. Eventually, simulations and experiments are carried out to corroborate that the proposed algorithm can effectively locate the NLOS target and reconstruct a portion of the shape of wall just with a portable single-input single-output (SISO) radar.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2024.3522427