Bulletin of Surveying and Mapping ›› 2025, Vol. 0 ›› Issue (6): 78-83.doi: 10.13474/j.cnki.11-2246.2025.0614

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Multi-factor joint UWB ranging stochastic model

MA Sunchao1,2, LIU Hui1,2, QIAN Chuang1,3, CHEN Yibiao1,2, JI Yuanfa4   

  1. 1. GNSS Research Center, Wuhan University, Wuhan 430079, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    3. Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430070, China;
    4. Guangxi Key Laboratory of Precision Navigation Technology and Application, Guilin University of Electronic Technology, Guilin 541004, China
  • Received:2024-11-13 Published:2025-07-04

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Abstract: Due to the complex and changeable indoor environment, the UWB stochastic model based on single factor has its own advantages and disadvantages. In order to further refine the existing model and improve the positioning accuracy of UWB in complex scene, this paper proposes a joint stochastic model based on communication distance, signal-to-noise ratio and power difference on the basis of analyzing the factors related to UWB ranging quality. The stochastic model takes into account all noise factors and has strong environmental adaptability. The experimental results show that the multi-factor combined stochastic model has better anti-noise performance than the single factor stochastic model, the static positioning accuracy can be improved by 40% compared with the equal weight model, and the dynamic positioning results are closer to the real trajectory.

Key words: ultrawide band, ranging signal, stochastic model, positioning accuracy

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