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A Moving Target Trajectory Tracking Method Based on CSI

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Wireless Sensor Networks (CWSN 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1101))

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Abstract

Aiming at the problems of high cost and low tracking performance of mobile target tracking, this paper proposes a CSI-based moving target trajectory tracking method. This method combines velocity estimation and hidden Markov model to achieve tracking of moving target trajectories. Firstly, the collected channel state information (CSI) in the offline phase, after preprocessing, is stored in the fingerprint database. Secondly, in the online stage, the model proposed in this paper is used for real-time matching, so as to realize real-time trajectory tracking of the target. Set up contrast experiments is carried out to verify the moving target trajectory tracking method proposed in this paper. The CSI-based moving target trajectory tracking method can track moving targets more accurately, has universality to different environments and targets, and has stability and robustness.

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Author information

Authors and Affiliations

  1. College of Computer Science and Engineering, Northwest Normal University, Lanzhou, 730070, China

    Zhanjun Hao, Lihua Yan & Xiaochao Dang

  2. Gansu Province Internet of Things Engineering Research Center, Lanzhou, 730070, China

    Zhanjun Hao & Xiaochao Dang

Authors
  1. Zhanjun Hao
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  2. Lihua Yan
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  3. Xiaochao Dang
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Corresponding author

Correspondence to Zhanjun Hao .

Editor information

Editors and Affiliations

  1. Chongqing University, Chongqing, China

    Songtao Guo

  2. Chongqing University, Chongqing, China

    Kai Liu

  3. Chongqing University, Chongqing, China

    Chao Chen

  4. Chongqing University, Chongqing, China

    Hongyu Huang

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Hao, Z., Yan, L., Dang, X. (2019). A Moving Target Trajectory Tracking Method Based on CSI. In: Guo, S., Liu, K., Chen, C., Huang, H. (eds) Wireless Sensor Networks. CWSN 2019. Communications in Computer and Information Science, vol 1101. Springer, Singapore. https://doi.org/10.1007/978-981-15-1785-3_23

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  • DOI: https://doi.org/10.1007/978-981-15-1785-3_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1784-6

  • Online ISBN: 978-981-15-1785-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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