A Tightly Coupled Approach for Simultaneous Anchor and Tag Localization With Multi-UWB-Tag System

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Abstract

Ultrawideband (UWB) positioning systems have been extensively studied and implemented in dense urban and indoor environments. Assuming that the positions of UWB anchors are given, the position of a UWB tag on a moving platform can be estimated by measuring its distances to the anchors. However, precisely determining anchor positions in advance is labor intensive and may be impractical in emergency situations, such as firefighting or search and rescue missions. To address this challenge, this article presents a method for simultaneously localizing both the tag and fixed anchors in real-time without any prior knowledge of the anchor positions. Multiple UWB tags (MUTs) are placed on an autonomous mobile robot (AMR), which allows the anchor initialization at the first observation without delay. In addition, a novel protocol for the MUT measurement is proposed to minimize the measurement time. The geometric structure of the MUT placement is incorporated as a constraint in the estimation algorithm. In this article, a tightly coupled approach is proposed for the estimation, which enhances the convergence and accuracy of localization. The proposed method is rigorously evaluated through simulations and realworld experiments, with results demonstrating its superior performance in the UWB localization, confirming its effectiveness in practical applications. Specifically, the proposed method achieves root-mean-square errors of 0.076 m in AMR’s position, 0.017 rad in AMR’s heading angle, and 0.131 m in anchor position, representing reductions of 24.05%, 45.4%, and 56.36%, respectively, compared with a state-of-the-art algorithm.

Original languageEnglish
Pages (from-to)1320-1328
Number of pages9
JournalIEEE Sensors Journal
Volume26
Issue number1
DOIs
StatePublished - Jan 2026

Keywords

  • Anchor self-localization
  • radius-constrained extended Kalman filter (RC-EKF)
  • sensor fusion
  • simultaneous anchor and tag self-localization
  • tightly coupled integration
  • ultrawideband (UWB)

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