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A Ray-Tracing-Based Single-Site Localization Method for Non-Line-of-Sight Environments
Shuo Hu1, Lixin Guo1, Zhongyu Liu1
1School of Physics, Xidian University, Xi'an 710071, China.
Sensors (Basel, Switzerland)
|January 8, 2025
Summary
This study introduces a new single-site localization method using angle-of-arrival and ray tracing to improve accuracy in complex non-line-of-sight environments. The approach transforms non-line-of-sight paths, enhancing localization performance significantly.
Area of Science:
- Signal Processing
- Electromagnetics and Propagation
- Geospatial Information Systems
Background:
- Non-line-of-sight (NLOS) localization is challenged by multipath propagation.
- Existing methods often focus on error mitigation rather than fundamental propagation issues.
- Accurate localization in complex environments remains a critical research area.
Purpose of the Study:
- To propose a novel single-site localization method for complex multipath NLOS environments.
- To leverage angle-of-arrival (AOA) estimates and ray-tracing (RT) for enhanced localization.
- To improve the accuracy of localizing non-cooperative targets in difficult propagation conditions.
Main Methods:
- Utilizing ray tracing to generate generalized sources (GSs), transforming NLOS paths into equivalent line-of-sight (LOS) paths.
- Implementing a novel weighting mechanism for GSs.
- Employing an iteratively reweighted least squares (IRLS) estimator combined with a multipath similarity displacement matrix (MSDM).
Main Results:
- The proposed method significantly enhances localization accuracy in complex multipath NLOS scenarios.
- Localization performance approaches the Cramér-Rao lower bound (CRLB).
- The integration of MSDM further improves accuracy in areas with high multipath fluctuations.
Conclusions:
- The novel single-site localization method effectively addresses challenges in complex multipath NLOS environments.
- The approach demonstrates superior performance compared to traditional methods, achieving near-optimal accuracy.
- This technique offers a promising solution for accurate target localization in adverse propagation conditions.
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