Research on UWB Distributed Node Aided Indoor Positioning Method in Dynamic NLOS Environment

In order to solve the problems of low positioning accuracy and poor anti-interference ability in a non-line-of-sight (NLOS) environment, a distributed auxiliary node positioning method based on ultra-wideband (UWB) is proposed. First, the UWB positioning measurement model is used for error correction to optimize the measurement data. Second, the node network of UWB is established by selecting suitable auxiliary nodes, performing noise reduction on the measured distance, setting incremental queues, and solving the initial value of auxiliary nodes. The distributed auxiliary positioning fusion algorithm solves the error optimization of auxiliary nodes and selects the positioning value that meets the accuracy requirements after initialization, extended Kalman filtering, importance sampling and resampling. The experimental results show that the positioning accuracy error under NLOS is within [Formula: see text] [Formula: see text]cm, the median distribution of positioning error is concentrated around 1.6[Formula: see text]cm, and the fusion positioning algorithm improves the positioning accuracy by at least 20.4%.

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Publication Details

Journal
International Journal of Humanoid Robotics
Published
2025-09-25
DOI
https://doi.org/10.1142/s0219843625400067
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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article

Research on UWB Distributed Node Aided Indoor Positioning Method in Dynamic NLOS Environment

Hang Li, Qiang Wang, Yun Xu, Bo Huang et al.
International Journal of Humanoid Robotics
Indoor and Outdoor Localization Technologies
article

Research on UWB Distributed Node Aided Indoor Positioning Method in Dynamic NLOS Environment

Hang Li, Qiang Wang, Yun Xu, Bo Huang, Yinghua Liao
article en

Abstract

In order to solve the problems of low positioning accuracy and poor anti-interference ability in a non-line-of-sight (NLOS) environment, a distributed auxiliary node positioning method based on ultra-wideband (UWB) is proposed. First, the UWB positioning measurement model is used for error correction to optimize the measurement data. Second, the node network of UWB is established by selecting suitable auxiliary nodes, performing noise reduction on the measured distance, setting incremental queues, and solving the initial value of auxiliary nodes. The distributed auxiliary positioning fusion algorithm solves the error optimization of auxiliary nodes and selects the positioning value that meets the accuracy requirements after initialization, extended Kalman filtering, importance sampling and resampling. The experimental results show that the positioning accuracy error under NLOS is within [Formula: see text] [Formula: see text]cm, the median distribution of positioning error is concentrated around 1.6[Formula: see text]cm, and the fusion positioning algorithm improves the positioning accuracy by at least 20.4%.

International Journal of Humanoid Robotics
Yibin University (CN)
Openalex Percentile: Top 74%
Indoor and Outdoor Localization Technologies
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Research on UWB Distributed Node Aided Indoor Positioning Method in Dynamic NLOS Environment — Hang Li, Qiang Wang, et al. · International Journal of Humanoid Robotics (2025) | TGRS Research Map | TGRS