Multipath Exploitation-Based Linearized Inverse Scattering Method for Non-Line-of-Sight Indoor Imaging of PEC Objects

This article reports on the localization and imaging of perfect electric conductive (PEC) objects in a non-line-of-sight (NLOS) environment using the multipath exploitation-based inverse scattering method. We considered the application of the linearized inverse scattering method, using the physical...

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Detalhes bibliográficos
Principais autores: Hiroshi Suenobu, Shouhei Kidera, Takayuki Nakanishi, Ryosuke Kobayashi, Yasuhiro Nishioka, Yoshio Inasawa
Formato: Artigo
Idioma:English
Publicado em: IEEE 2025-01-01
coleção:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:
Acesso em linha:https://ieeexplore.ieee.org/document/10859193/
Descrição
Resumo:This article reports on the localization and imaging of perfect electric conductive (PEC) objects in a non-line-of-sight (NLOS) environment using the multipath exploitation-based inverse scattering method. We considered the application of the linearized inverse scattering method, using the physical optics approximation for the scattering analysis from a metallic object to imaging scatterers located in the NLOS area. By assuming that the geometry of the NLOS environment is known, we can obtain the numerical Green's function, which includes multipath propagation components between the observation points and the imaging region, and connect them within the geometry. This enables the inverse scattering method to be applied to NLOS targets. As a typical NLOS scenario, we assumed an indoor T-junction scenario for collision avoidance and adopted the formulation of the method as two-dimensional planar imaging to the scenario and validated its imaging performance in the NLOS area through the three-dimensional electromagnetic simulations and experiments in an anechoic chamber using a 2 GHz band radar system. These validations demonstrated that our proposed scheme can accurately reconstruct a metallic plate-shaped object in the NLOS area.
ISSN:1939-1404
2151-1535