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Calibration method of anchor position in indoor environment based on two-step extended Kalman filter

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Abstract

In this paper, a calibration method based on a two-step extended Kalman filter (EKF) is proposed. Firstly, the four vertex positions of a rectangle in the environment are calibrated. Specifically, in the first stage the initial position states of all anchor nodes are obtained using a rough localization method. In the second stage, the first and second step EKFs are used to obtain the real-time state of the measured target and all anchor nodes. The state estimation of all anchor nodes is achieved by employing the iterative process of the two-step EKF. The effectiveness and stability of the proposed algorithm are verified by simulations and experiment.

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Authors and Affiliations

  1. The College of Science, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Xin Tian & Guoliang Wei

  2. The Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Jun Zhou

Authors
  1. Xin Tian
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  2. Guoliang Wei
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  3. Jun Zhou
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Correspondence to Guoliang Wei.

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This work was supported in part by the National Natural Science Foundation of China [grant number 61873169], the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning.

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Tian, X., Wei, G. & Zhou, J. Calibration method of anchor position in indoor environment based on two-step extended Kalman filter. Multidim Syst Sign Process 32, 1141–1158 (2021). https://doi.org/10.1007/s11045-021-00779-8

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  • DOI: https://doi.org/10.1007/s11045-021-00779-8

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