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Study on Indoor Combined Positioning Method Based on TDOA and IMU

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Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

This paper studies an indoor positioning method combining wireless sensor network (WSN) and inertial navigation system (INS). Because the positioning error of INS increases with time, the long-term positioning accuracy is poor, so the combination uses the wireless sensor network to measure the distance between unknown node and base station by TDOA method. The dead-reckoning data of inertial measurement unit (IMU) and the distance information of TDOA method are transmitted to the processing terminal, and then the particle filter algorithm is used to smooth the data to obtain the position estimation. The cumulative positioning error of INS is corrected, and the non-line-of-sight (NLOS) error in TDOA positioning method is reduced. The experimental results show that compared with the single TDOA localization method, the accuracy of the combined positioning method is higher.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under Grant 61601494.

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Authors and Affiliations

  1. Missile Engineering Department, Army Engineering University of PLA, Shijiazhuang Campus, Shijiazhuang, 050003, China

    Chaochao Yang, Jianhui Chen, Xiwei Guo, Deliang Liu & Yunfei Shi

Authors
  1. Chaochao Yang
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  2. Jianhui Chen
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  3. Xiwei Guo
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  4. Deliang Liu
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  5. Yunfei Shi
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Corresponding author

Correspondence to Jianhui Chen .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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© 2020 Springer Nature Singapore Pte Ltd.

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Yang, C., Chen, J., Guo, X., Liu, D., Shi, Y. (2020). Study on Indoor Combined Positioning Method Based on TDOA and IMU. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_149

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_149

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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