Relative Localization of Asynchronous Agents Based on Hybrid Active-Passive Two-Way Ranging

To position agents equipped with ultrawideband (UWB) devices without requiring continuous clock synchronization, the primary measurement currently used is the time of flight between agents, estimated through active two-way ranging (TWR). However, the cumbersome signal exchange mechanism in active TWR imposes a trade-off between the number of agents and the positioning frequency. To address this issue, this paper proposes a relative localization scheme using hybrid active-passive TWR to accommodate more agents without compromising the positioning refresh rate. Additionally, this scheme not only extends passive TWR into a dynamic form, thereby improving localization accuracy of mobile agents, but also presents a two-step relative positioning method to enhance computational efficiency. The feasibility of the scheme is validated through numerical simulations and real-world tests on a prototype system built with consumer-level UWB chips.

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Publication Details

Published
2025-03-12
DOI
https://doi.org/10.1109/icassp49660.2025.10889241
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
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Relative Localization of Asynchronous Agents Based on Hybrid Active-Passive Two-Way Ranging

Feng Pan, Jianing Zhang, Baoguo Yu, Xin Li et al.
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Indoor and Outdoor Localization Technologies
article

Relative Localization of Asynchronous Agents Based on Hybrid Active-Passive Two-Way Ranging

Feng Pan, Jianing Zhang, Baoguo Yu, Xin Li, Wei Wang, Shiyu Dong
article en

Abstract

To position agents equipped with ultrawideband (UWB) devices without requiring continuous clock synchronization, the primary measurement currently used is the time of flight between agents, estimated through active two-way ranging (TWR). However, the cumbersome signal exchange mechanism in active TWR imposes a trade-off between the number of agents and the positioning frequency. To address this issue, this paper proposes a relative localization scheme using hybrid active-passive TWR to accommodate more agents without compromising the positioning refresh rate. Additionally, this scheme not only extends passive TWR into a dynamic form, thereby improving localization accuracy of mobile agents, but also presents a two-step relative positioning method to enhance computational efficiency. The feasibility of the scheme is validated through numerical simulations and real-world tests on a prototype system built with consumer-level UWB chips.

Harbin Engineering University (CN), China Electronics Technology Group Corporation (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 97%
Indoor and Outdoor Localization Technologies
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