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

Sensors (Basel). 2024 Dec 11;24(24):7925. doi: 10.3390/s24247925.

Abstract

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.

Keywords: AOA; IRLS; NLOS; RT; propagation; single-site localization.

Grants and funding

This work was supported in part by the key project of Social Governance and Scientific and Technological Support for Smart Society (Grant No. 2022YFC3301403), the Key Basic Research Project of the Foundation Strengthening Program, the Foundation of China Information Technology Designing & Consulting Institute Co., Ltd., and the National Natural Science Foundation of China (Grant Nos. 62231021 and U21A20457).