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
基金
中国国家自然科学基金;
关键词
AOA; IRLS; NLOS; propagation; RT; single-site localization;
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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  • [1] Yin J., Wan Q., Yang S., Ho K.C., A Simple and Accurate TDOA-AOA Localization Method Using Two Stations, IEEE Signal Process Lett, 23, pp. 144-148, (2016)
  • [2] Shakya D., Ju S., Kanhere O., Poddar H., Xing Y., Rappaport T.S., Radio Propagation Measurements and Statistical Channel Models for Outdoor Urban Microcells in Open Squares and Streets at 142, 73, and 28 GHz, IEEE Trans. Antennas Propag, 72, pp. 3580-3595, (2024)
  • [3] Holm P.D., A New Heuristic UTD Diffraction Coefficient for Nonperfectly Conducting Wedges, IEEE Trans. Antennas Propag, 48, pp. 1211-1219, (2000)
  • [4] Lee J.-H., Choi J.-S., Kim S.-C., Cell Coverage Analysis of 28 GHz Millimeter Wave in Urban Microcell Environment Using 3-D Ray Tracing, IEEE Trans. Antennas Propag, 66, pp. 1479-1487, (2018)
  • [5] Sharp I., Yu K., Indoor TOA Error Measurement, Modeling, and Analysis, IEEE Trans. Instrum. Meas, 63, pp. 2129-2144, (2014)
  • [6] Hara S., Anzai D., Yabu T., Lee K., Derham T., Zemek R., A Perturbation Analysis on the Performance of TOA and TDOA Localization in Mixed LOS/NLOS Environments, IEEE Trans. Commun, 61, pp. 679-689, (2013)
  • [7] Zou Y., Zhang Z., Fuzz C-Means Clustering Algorithm for Hybrid TOA and AOA Localization in NLOS Environments, IEEE Commun. Lett, 28, pp. 1830-1834, (2024)
  • [8] Yu K., Guo Y.J., Statistical NLOS Identification Based on AOA, TOA, and Signal Strength, IEEE Trans. Veh. Technol, 58, pp. 274-286, (2009)
  • [9] Liu D., Lee M.-C., Pun C.-M., Liu H., Analysis of Wireless Localization in Nonline-of-Sight Conditions, IEEE Trans. Veh. Technol, 62, pp. 1484-1492, (2013)
  • [10] Wu S., Zhang S., Huang D., A TOA-Based Localization Algorithm With Simultaneous NLOS Mitigation and Synchronization Error Elimination, IEEE Sens. Lett, 3, (2019)