Successful space domain awareness (SDA) requires maintaining track custody of cooperative and noncooperative cislunar space objects (CSOs) through both ballistic and maneuvering trajectories. The surveillance of CSOs is particularly challenging due to the underlying chaotic multi-body dynamics, which makes uncertainty propagation more difficult when compared to Keplerian orbits. While methods exist for tracking cooperative spacecraft using high accuracy range measurements, the problem of passive noncooperative maneuvering CSO tracking has received considerably less attention. In this paper, CSO motion is modeled as a jump Markov system (JMS), where the CSO modality is unknown and subject to random switching. A novel adaptive Bayesian filter is proposed and shown to successfully maintain CSO track custody through both ballistic and maneuvering phases of an Artemis I-like trajectory.


    Access

    Download


    Export, share and cite



    Title :

    Adaptive Gaussian Mixture Filtering for Multi-sensor Maneuvering Cislunar Space Object Tracking


    Additional title:

    J Astronaut Sci


    Contributors:


    Publication date :

    2025-01-08




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Adaptive Gaussian Mixture Filtering for Multi-sensor Maneuvering Cislunar Space Object Tracking

    Iannamorelli, John L. / LeGrand, Keith A. | Springer Verlag | 2025

    Free access

    Cislunar space

    NTRS | 1970


    Maneuvering target tracking: A Gaussian mixture based IMM estimator

    Laneuville, Dann / Bar-Shalom, Yaakov | IEEE | 2012



    Reachability-Based Approach for Search and Detection of Maneuvering Cislunar Objects

    Hall, Zach / Schwab, David / Eapen, Roshan et al. | AIAA | 2022