A Ray-Tracing-Based Single-Site Localization Method for Non-Line-of-Sight Environments

被引:0
|
作者
Hu, Shuo [1 ]
Guo, Lixin [1 ]
Liu, Zhongyu [1 ]
机构
[1] School of Physics, Xidian University, Xi’an,710071, China
基金
中国国家自然科学基金;
关键词
Clutter (information theory) - Cramer-Rao bounds - Direction of arrival - Global positioning system - Global system for mobile communications - Image segmentation - Least squares approximations - Multipath propagation;
D O I
10.3390/s24247925
中图分类号
学科分类号
摘要
Localization accuracy in non-line-of-sight (NLOS) scenarios is often hindered by the complex nature of multipath propagation. Traditional approaches typically focus on NLOS node identification and error mitigation techniques. However, the intricacies of NLOS localization are intrinsically tied to propagation challenges. In this paper, we propose a novel single-site localization method tailored for complex multipath NLOS environments, leveraging only angle-of-arrival (AOA) estimates in conjunction with a ray-tracing (RT) algorithm. The method transforms NLOS paths into equivalent line-of-sight (LOS) paths through the generation of generalized sources (GSs) via ray tracing. A novel weighting mechanism for GSs is introduced, which, when combined with an iteratively reweighted least squares (IRLS) estimator, significantly improves the localization accuracy of non-cooperative target sources. Furthermore, a multipath similarity displacement matrix (MSDM) is incorporated to enhance accuracy in regions with pronounced multipath fluctuations. Simulation results validate the efficacy of the proposed algorithm, achieving localization performance that approaches the Cramér–Rao lower bound (CRLB), even in challenging NLOS scenarios. © 2024 by the authors.
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