Train positioning technology based on Global Navigation Satellite System (GNSS) is an important content of the next-generation railway train control systems. Under the complex train operation environment, spoofing to the navigation satellite signals can affect the accuracy and credibility of the train positioning result and may even lead to accidents. Based on the principle of spoofing, this paper designs multiple sets of experiments and analyzes the degradation mechanism of characteristic indices of navigation satellite signals under spoofing conditions. Base on that, the characteristic consistency detection and identification scheme to GNSS spoofing is proposed by multi-dimensional parameters within both the observation domain and position domain. Using a navigation satellite signal simulator and the filed data, a typical GNSS spoofing test scenario dedicated to the train operation process is generated, and the spoofing detection method proposed in this paper is validated. The results illustrate that this method can integrate multiple parameters to realize effective spoofing detection and identification, which enables the effective spoofing protection capability for GNSS-based train positioning.


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    Title :

    Research on Multi-parameter-based Spoofing Detection Method for Satellite-Based Train Positioning


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yang, Changfeng (editor) / Xie, Jun (editor) / Liu, Jun-xi (author) / Liu, Jiang (author) / Cai, Bai-gen (author) / Wang, Jian (author)

    Conference:

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



    Publication date :

    2022-05-10


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






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