Navigation and positioning with low Earth orbit (LEO) satellites has become a popular topic in recent years. In contrast to traditional global navigation satellite system (GNSS), LEO satellite positioning suffers significantly smaller power attenuation. Furthermore, the concept of the signal of opportu-nity (SoOp) provides an opportunity to realize positioning with the existing dense LEO communication constellations. However, similar to GNSS, LEO satellite positioning can still be affected by varying environmental conditions and satellite geometry, resulting in unstable positioning performance. To enhance the positioning accuracy and stability, we design a federated Kalman filter (FKF)-based data fusion method that employs confidence levels in the integration of LEO satellite positioning and GNSS. Simulation results demonstrate that the proposed fusion method can attain 25% higher average accuracy compared to the GNSS-only case.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Federated Kalman Filter-Based Fusion of LEO and GNSS Positioning


    Contributors:


    Publication date :

    2024-06-24


    Size :

    421223 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Modified federated Kalman filter for INS/GNSS/CNS integration

    Hu, Gaoge / Gao, Shesheng / Zhong, Yongmin et al. | SAGE Publications | 2016


    Kalman Filter-Based Reliable GNSS Positioning for Aircraft Navigation

    Bhattacharyya, Susmita / Mute, Dinesh L. / Gebre-egziabher, Demoz | AIAA | 2019


    A Kinematic GNSS Positioning Method Based on Unscented Kalman Filter

    Li, Chunhua / Pan, Guofu / Cai, Chenglin et al. | British Library Conference Proceedings | 2017


    A Federated Kalman Filter Design Using a Gain Fusion Algorithm

    Kim, J. W. / Jee, G. I. / Lee, J. G. et al. | British Library Conference Proceedings | 1999