This paper aims to improve the performance of the autonomous optical navigation using relativistic perturbation of starlight, which is a promising technique for future space missions. Through measuring the change in inter-star angle due to the stellar aberration and the gravitational deflection of light with space-based optical instruments, the position and velocity vectors of the spacecraft can be estimated iteratively.

    Design/methodology/approach

    To enhance the navigation performance, an integrated optical navigation (ION) method based on the fusion of both the inter-star angle and the inter-satellite line-of-sight measurements is presented. A Q-learning extended Kalman filter (QLEKF) is designed to optimize the state estimate.

    Findings

    Simulations illustrate that the integrated optical navigation outperforms the existing method using only inter-star angle measurement. Moreover, the QLEKF is superior to the traditional extended Kalman filter in navigation accuracy.

    Originality/value

    A novel ION method is presented, and an effective QLEKF algorithm is designed for information fusion.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Integrated autonomous optical navigation using Q-Learning extended Kalman filter


    Beteiligte:
    Xiong, Kai (Autor:in) / Wei, Chunling (Autor:in) / Zhou, Peng (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    14.02.2022


    Format / Umfang :

    1 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Improving extended Kalman filter algorithm in satellite autonomous navigation

    He, Lina / Zhou, Hairui / Zhang, Gongyuan | SAGE Publications | 2017



    Correction of autonomous navigation systems using the Kalman filter

    Neusypin, K. A. / Selezneva, M. S. / Huong, Truong Ngoc et al. | American Institute of Physics | 2019


    Multiplicative Extended Kalman Filter for Relative Rotorcraft Navigation

    Leishman, Robert C. / McLain, Timothy W. | AIAA | 2015