This paper studies the fusion positioning method of the combination of magnetic matching/pedestrian dead reckoning (PDR) based on the smartphone. The magnetic matching is referred to the Weighted K-Nearest Neighbor (WKNN) to estimate the position. The PDR estimated position is used to constrain the magnetic fingerprint database in the circular domain, which does not fully utilize the candidate points’ position information in the WKNN algorithm. This paper takes advantages of the candidate points on the basis of the circular domain constraint to construct an error ellipse for additional constraint, obtaining a magnetic fingerprint sub-library for reducing the dimensions of fingerprint library and improving the positioning accuracy. The fingerprint database was established through Redmi K30, while Redmi K30, Xiaomi 8 and Huawei mate40 were used for experiments in positioning stage. The experimental results show that the proposed fusion method has higher positioning accuracy. The average positioning errors are reduced from 0.64 m, 0.64 m, and 0.75 m to 0.51 m, 0.53 m, and 0.48 m, respectively, and the accuracy is improved by 20.3%, 17.2%, and 36.0%.


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    Titel :

    Magnetic Matching/PDR Combined Positioning Method Under the Constraint of Error Ellipse


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yang, Changfeng (Herausgeber:in) / Xie, Jun (Herausgeber:in) / Shao, Kefan (Autor:in) / Li, Zengke (Autor:in) / Wang, Zhaoyuan (Autor:in) / Liu, Zhenbin (Autor:in) / Guo, Qiang (Autor:in)

    Kongress:

    China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022



    Erscheinungsdatum :

    2022-05-07


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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