In this article, a new comprehensive system for distributed multisensor multitarget tracking is proposed. All of its functions, including track initiation, confirmation, maintenance and termination, and track-to-track association and fusion, are built around the concept of the probability of target existence (PTE). A new track maintenance algorithm is composed of the correction part, with data association requiring computations linearly depending on the number of measurements and tracks, and the prediction part, containing an adaptive consensus scheme, coping with limited sensor observability. A new track-to-track association and fusion algorithm based on an approximation of track association probability is also proposed, ensuring consistency and continuity of individual tracks. Track initiation and termination algorithms are derived on the basis of local PTEs. Stability of the proposed system is studied for the steady state and time-varying regimes. The system as a whole achieves high performance close to the centralized solution, outperforming all the comparable existing state-of-the-art approaches, keeping much lower communication and computation requirements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive Consensus-Based Distributed System for Multisensor Multitarget Tracking


    Beteiligte:


    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    1330235 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multisensor-Multitarget Tracking

    Online Contents | 1996


    Neural Networks for Multisensor Multitarget Tracking

    Leung, H. / Lo, T. / Wang, F. et al. | British Library Conference Proceedings | 1994


    Airborne multisensor management for multitarget tracking

    Kim, Youngjoo / Bang, Hyochoong | IEEE | 2015


    Online multisensor-multitarget detection and tracking

    Ng, W. / Li, J. / Godsill, S. | IEEE | 2006


    PCRLB-based multisensor array management for multitarget tracking

    Tharmarasa, R. / Kirubarajan, T. / Hernandez, M.L. et al. | IEEE | 2007