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A Weighted and Improved Indoor Positioning Algorithm Based on Wi-Fi Signal Intensity

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Communications, Signal Processing, and Systems (CSPS 2018)

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

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Abstract

In order to solve the problem of the influence of signal strength fluctuation on indoor positioning accuracy, an improved indoor positioning algorithm based on WiFi signal strength is proposed in the paper. Based on the K-nearest neighbor location algorithm, the weight of the signal strength is further increased, the characteristics of the received signal and the fingerprint database are optimized, the interference of the weak signal on the positioning is reduced, and the accurate indoor positioning is achieved. The calculation in this work suggests that the positioning error can be reduced on the original basis, the accuracy of the algorithm is improved. On the basis of the original algorithm, the error range is narrowed and the positioning accuracy is improved. The average error of the improved algorithm is controlled at about 1.87 m.

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References

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Author information

Authors and Affiliations

  1. Northeast Petroleum University Youth Fund: XN2014111, Daqing, China

    Guanghua Zhang & Xue Sun

Authors
  1. Guanghua Zhang
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  2. Xue Sun
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Corresponding author

Correspondence to Xue Sun .

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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Cite this paper

Zhang, G., Sun, X. (2020). A Weighted and Improved Indoor Positioning Algorithm Based on Wi-Fi Signal Intensity. 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_139

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_139

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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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