| Peer-Reviewed

Filtering Analysis of Navigation Data Processing for Personnel Positioning System

Received: 18 April 2016     Accepted: 28 April 2016     Published: 13 May 2016
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Abstract

Ultra wideband technology is a more precise indoor positioning technology. But the UWB positioning output would be unstable if the signal from base station were blocked. The low cost inertial positioning is a method to make up a method for indoor navigation. However, the positioning error will accumulate quickly due to the low cost inertial measurement error. To solve this problem, we selected the MPU6050 module as a chip and Simulated test with Extended Kalman Filter and Unscented Kalman Filter algorithms, and carried out the error analysis on both of them. Finally, come to sampling Kalman filter estimation accuracy estimation is more accurate, more suitable for MPU6050 positioning algorithm.

Published in Science Journal of Applied Mathematics and Statistics (Volume 4, Issue 3)
DOI 10.11648/j.sjams.20160403.12
Page(s) 97-100
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Indoor Positioning, Location Algorithm, Combined Positioning, Extended Calman Filter

References
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[3] Gao Mingyu. He Zhiwei, Xu Jie. Based on sampling points Kalman filtering power battery SOC estimation [J]. Electrotechnical Journal of, 2011, 11: 161-167.
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  • APA Style

    Lianhong Ding, Hongqing Sang, Juntao Li. (2016). Filtering Analysis of Navigation Data Processing for Personnel Positioning System. Science Journal of Applied Mathematics and Statistics, 4(3), 97-100. https://doi.org/10.11648/j.sjams.20160403.12

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    ACS Style

    Lianhong Ding; Hongqing Sang; Juntao Li. Filtering Analysis of Navigation Data Processing for Personnel Positioning System. Sci. J. Appl. Math. Stat. 2016, 4(3), 97-100. doi: 10.11648/j.sjams.20160403.12

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    AMA Style

    Lianhong Ding, Hongqing Sang, Juntao Li. Filtering Analysis of Navigation Data Processing for Personnel Positioning System. Sci J Appl Math Stat. 2016;4(3):97-100. doi: 10.11648/j.sjams.20160403.12

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  • @article{10.11648/j.sjams.20160403.12,
      author = {Lianhong Ding and Hongqing Sang and Juntao Li},
      title = {Filtering Analysis of Navigation Data Processing for Personnel Positioning System},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {4},
      number = {3},
      pages = {97-100},
      doi = {10.11648/j.sjams.20160403.12},
      url = {https://doi.org/10.11648/j.sjams.20160403.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20160403.12},
      abstract = {Ultra wideband technology is a more precise indoor positioning technology. But the UWB positioning output would be unstable if the signal from base station were blocked. The low cost inertial positioning is a method to make up a method for indoor navigation. However, the positioning error will accumulate quickly due to the low cost inertial measurement error. To solve this problem, we selected the MPU6050 module as a chip and Simulated test with Extended Kalman Filter and Unscented Kalman Filter algorithms, and carried out the error analysis on both of them. Finally, come to sampling Kalman filter estimation accuracy estimation is more accurate, more suitable for MPU6050 positioning algorithm.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Filtering Analysis of Navigation Data Processing for Personnel Positioning System
    AU  - Lianhong Ding
    AU  - Hongqing Sang
    AU  - Juntao Li
    Y1  - 2016/05/13
    PY  - 2016
    N1  - https://doi.org/10.11648/j.sjams.20160403.12
    DO  - 10.11648/j.sjams.20160403.12
    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
    SP  - 97
    EP  - 100
    PB  - Science Publishing Group
    SN  - 2376-9513
    UR  - https://doi.org/10.11648/j.sjams.20160403.12
    AB  - Ultra wideband technology is a more precise indoor positioning technology. But the UWB positioning output would be unstable if the signal from base station were blocked. The low cost inertial positioning is a method to make up a method for indoor navigation. However, the positioning error will accumulate quickly due to the low cost inertial measurement error. To solve this problem, we selected the MPU6050 module as a chip and Simulated test with Extended Kalman Filter and Unscented Kalman Filter algorithms, and carried out the error analysis on both of them. Finally, come to sampling Kalman filter estimation accuracy estimation is more accurate, more suitable for MPU6050 positioning algorithm.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Logistics Engineering, School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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