A sensor management method for joint multitarget search and track problems is proposed, where a single user-defined parameter allows for a tradeoff between the two objectives. The multitarget density is propagated using the Poisson multi-Bernoulli mixture filter, which eliminates the need for a separate handling of undiscovered targets and provides the theoretical foundation for a unified search and track method. Monte Carlo simulations of two scenarios are used to evaluate the performance of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sensor Management for Search and Track Using the Poisson Multi-Bernoulli Mixture Filter


    Contributors:


    Publication date :

    2021-10-01


    Size :

    1444938 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Poisson Multi-Bernoulli Mixture Filter: Direct Derivation and Implementation

    Garcia-Fernandez, Angel F. / Williams, Jason L. / Granstrom, Karl et al. | IEEE | 2018


    Data-Driven Clustering and Bernoulli Merging for the Poisson Multi-Bernoulli Mixture Filter

    Fontana, Marco / Garcia-Fernandez, Angel F. / Maskell, Simon | IEEE | 2023


    Multisensor Poisson Multi-Bernoulli Filter for Joint Target–Sensor State Tracking

    Frohle, Markus / Lindberg, Christopher / Granstrom, Karl et al. | IEEE | 2019


    Poisson Multi-Bernoulli Mixture Conjugate Prior for Multiple Extended Target Filtering

    Granstrom, Karl / Fatemi, Maryam / Svensson, Lennart | IEEE | 2020