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NLOS Identification and Error Compensation Method for UWB in Workshop Scene.

Yu Su¹, Quan Yu¹, Xiaohao Xia¹

¹Zhoushan COSCO Shipping Heavy Industry Co., Zhoushan 316100, China.

Sensors (Basel, Switzerland)

|November 13, 2025

Summary

This summary is machine-generated.

This study introduces a rapid Non-Line-of-Sight (NLOS) identification method and a ranging error compensation approach for precise positioning in manufacturing workshops. The new method significantly enhances ranging accuracy, improving safety and efficiency.

Keywords:

NLOS identification UWB adaptive extended Kalman filter error compensation maximum likelihood estimation

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Area of Science:

Robotics and Automation
Sensor Fusion
Signal Processing

Background:

Positioning uncertainty in manufacturing workshops, often caused by Non-Line-of-Sight (NLOS) interference, leads to frequent safety incidents.
Existing methods for NLOS identification and ranging error compensation are insufficient for complex industrial environments.

Purpose of the Study:

To develop a high-precision distance measurement and positioning system for complex manufacturing workshop scenarios.
To mitigate safety risks associated with positioning uncertainty in industrial settings.

Main Methods:

Analysis of common NLOS identification techniques.
Proposal of a rapid NLOS identification method combining received signal energy and ranging residuals.
Design of a ranging error compensation method utilizing maximum likelihood estimation and adaptive extended Kalman filtering.

Main Results:

Experimental validation of the proposed NLOS identification and ranging error compensation methods.
Significant improvement in ranging accuracy compared to traditional approaches.
Demonstrated considerable advantages over traditional Kalman filtering algorithms.

Conclusions:

The developed method effectively addresses NLOS interference in complex workshop environments.
The proposed approach enhances ranging accuracy, contributing to improved industrial safety and operational efficiency.
This work offers a robust solution for high-precision positioning in challenging manufacturing settings.