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A 3D UWB Hybrid Localization Method Based on BSR and L-AOA

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Neural Information Processing (ICONIP 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1961))

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Abstract

In this paper, the reliability of the base station(BSR) and the low-cost Angle of arrival(L-AOA) positioning method are proposed to optimize the positioning result of the time difference of arrival(TDOA) positioning method, and then the result is substituted into the Taylor algorithm as the initial value for iterative optimization. The experimental results in non-line-of-sight environment show that the proposed method improves the localization accuracy by about 20% compared with that of TDOA only. In addition, we also apply this algorithm to the mixed algorithms of TDOA and Taylor, under with the same error environment, the positioning accuracy is improved by about 10%.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (61873213).

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Authors and Affiliations

  1. College of Electronic and Information Engineering, Southwest University, Chongqing, China

    Bin Shu, Chuandong Li, Yawei Shi, Huiwei Wang & Huaqing Li

  2. BeiBei, Chongqing, 400715, China

    Bin Shu, Chuandong Li, Yawei Shi, Huiwei Wang & Huaqing Li

Authors
  1. Bin Shu
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  2. Chuandong Li
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  3. Yawei Shi
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  4. Huiwei Wang
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  5. Huaqing Li
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Corresponding authors

Correspondence to Bin Shu or Chuandong Li .

Editor information

Editors and Affiliations

  1. School of Automation, Central South University, Changsha, China

    Biao Luo

  2. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Long Cheng

  3. Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, China

    Zheng-Guang Wu

  4. School of Automation, Guangdong University of Technology, Guangzhou, China

    Hongyi Li

  5. School of Electrical Engineering and Telecommunications, UNSW Sydney, Sydney, NSW, Australia

    Chaojie Li

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Shu, B., Li, C., Shi, Y., Wang, H., Li, H. (2024). A 3D UWB Hybrid Localization Method Based on BSR and L-AOA. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Communications in Computer and Information Science, vol 1961. Springer, Singapore. https://doi.org/10.1007/978-981-99-8126-7_1

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  • DOI: https://doi.org/10.1007/978-981-99-8126-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-8125-0

  • Online ISBN: 978-981-99-8126-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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