This article addresses the multiple resolvable group targets tracking (MRGTT) problem, wherein the leader–follower (LF) model is adopted to evolve the group structure. Since there is an interaction between the destination and each leader, such that an attraction force of the destination information on the leader needs to be considered. To cope with the time-varying number of targets/groups and target-measurement association uncertainty, the so-called labeled multi-Bernoulli (LMB) filter is regarded as the filtering tool and combined with the LF model, named LF-LMB. Totally speaking, the implementation of the proposed LF-LMB filter consists of three steps. First, the stochastic differential equation (SDE) of the state is used to, respectively, characterize the motion models of the leader and the follower. Then, the state transition equations (STEs) for the leader and the follower are derived. Lastly, the derived STEs are used to modify the prediction process of the standard LMB filter. Simulation experiments are carried out to demonstrate the superiority (e.g., optimal subpattern assignment (OSPA) and OSPA$^{(2)}$ errors are reduced by at least 15$\%$ compared to the standard LMB filter) and robustness of the proposed approach.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Labeled Multi-Bernoulli Filter Based Multiple Resolvable Group Targets Tracking With Leader–Follower Model


    Beteiligte:
    Li, Guchong (Autor:in) / Li, Gang (Autor:in) / He, You (Autor:in)


    Erscheinungsdatum :

    01.10.2023


    Format / Umfang :

    1583375 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    The Labeled Multi-Bernoulli Filter for Multitarget Tracking With Glint Noise

    Dong, Peng / Jing, Zhongliang / Leung, Henry et al. | IEEE | 2019


    Interaction-Aware Labeled Multi-Bernoulli Filter

    Ishtiaq, Nida / Gostar, Amirali Khodadadian / Bab-Hadiashar, Alireza et al. | IEEE | 2023


    Refined tracking algorithm for steady partly resolvable group targets based on ICP

    Wang, Cong / Wang, Haipeng / He, You et al. | British Library Online Contents | 2017