X-ray pulsar navigation (XPNAV) is an autonomous celestial navigation technology for deep space missions. The error in the pulse time of arrival used in pulsar navigation is large for various practical reasons and thus greatly reduces the navigation accuracy of spacecraft near the Earth and in deep space. This paper aims to propose a novel method based on ranging information that improves the performance of XPNAV.

    Design/methodology/approach

    This method replaces one pulsar observation with a satellite observation. The ranging information is the difference between the absolute distance of the satellite relative to the spacecraft and the estimated distance of the satellite relative to the spacecraft. The proposed method improves the accuracy of XPNAV by combining the ranging information with the observation data of two pulsars.

    Findings

    The simulation results show that the proposed method greatly improves the XPNAV accuracy by 70% compared with the conventional navigation method that combines the observations of three pulsars. This research also shows that a larger angle between the orbital plane of the satellite and that of the spacecraft provides higher navigation accuracy. In addition, a greater orbital altitude difference implies higher navigation accuracy. The position error and ranging error of the satellite have approximately linear relationships with the navigation accuracy.

    Originality/value

    The novelty of this study is that the satellite ranging information is integrated into the pulsar navigation by using mathematical geometry.


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    Titel :

    Enhanced X-ray pulsar navigation based on ranging information of a satellite


    Beteiligte:
    Zhang, Li (Autor:in) / Fang, Haiyan (Autor:in) / Bao, Weimin (Autor:in) / Sun, Haifeng (Autor:in) / Shen, Lirong (Autor:in) / Su, Jianyu (Autor:in) / Zhao, Liang (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2022-05-31


    Format / Umfang :

    1 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch