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Non-Line-of-Sight Target Localization Based on Multipath Exploitation
(IOS Press BV, 2024) Wen, Kai; Wu, Yishuo; Yahya, Khalid
Detecting targets located in non-line-of-sight (NLOS) areas within urban environments has attracted widespread attention in recent years. However, imaging localization algorithms based on multipath superposition often generate false target points, leading to interference in target location acquisition. This article proposes a new multi-target localization method specifically designed for L-shaped building scenarios without producing target ghosting, by studying the correlation between times of arrival (TOAs) and multipath types. Specifically, the propagation mode of the signal is first analyzed to construct a multipath echo model. The principle of specular reflection is utilized to introduce virtual radars, and virtual radar coordinates corresponding to each order of reflection are obtained. Then, the numerical relationship between different times of arrival and corresponding multipath types in the scene is studied. This, combined with an improved ellipse-cross-localization method, is used to determine the target position. Finally, numerical simulation results demonstrate that the proposed multi-target localization method effectively establishes the correlation between times of arrival and multipath types, enabling accurate localization of multiple targets in NLOS areas. © 2024 The Authors.