Space object tracking and maneuver detection play an essential role in space situation awareness (SSA). The ordinary Kalman filter and its variants may give large error due to the maneuver of the space object. In this paper, to consistently track a maneuvering space object, the interacting multiple model (IMM) filter is utilized. Multiple Models with different process noise levels are used to distinguish the maneuvering effects. The IMM cubature Kalman filter (IMM-CKF) is used to track the maneuvering space object which considers of the geometric relations between the space object, space based optical (SBO) sensor, and the sun. The geometric relation highly affects the quality of the observation. A scenario which contains a target spacecraft and four SBO sensors is used to test performance of the IMM-CKF. We also compare the IMM-CKF and the ordinary cubature Kalman filter (CKF). The results indicate that IMM-CKF is more robust than the CKF when the space object undergoes a maneuver. In addition, the detection of a maneuver can be obtained by using the IMM-CKF. Hence, IMM-CKF could facilitate future SBO based SSA mission awareness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Space object tracking and maneuver detection via interacting multiple model cubature Kalman filters


    Contributors:
    Jia, Bin (author) / Blasch, Erik (author) / Pham, Khanh D. (author) / Shen, Dan (author) / Wang, Zhonghai (author) / Tian, Xin (author) / Chen, Genshe (author)


    Publication date :

    2015-03-01


    Size :

    530416 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Inverse Cubature and Quadrature Kalman Filters

    Singh, Himali / Mishra, Kumar Vijay / Chattopadhyay, Arpan | IEEE | 2024




    Space object maneuver detection

    TACK JONSIMON / NEZDA CHRISTINE | European Patent Office | 2023

    Free access

    IMM-cubature quadrature Kalman filter for manoeuvring target tracking

    Radhakrishnan, Rahul / Singh, Abhinoy Kumar / Bhaumik, Shovan et al. | IEEE | 2015