Particle filter has been proven to be a very effective method for identifying targets in non-linear and non-Gaussian environment. However, particle filter is computationally intensive. So, particle filter has been implemented on FPGA by exploiting parallel and pipelining approaches to reduce the computational burden. Our optimized FPGA implementation improves up to twelve times speed up. Also more speed ups are achieved with increasing number of particles.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimized FPGA based implementation of particle filter for tracking applications


    Beteiligte:


    Erscheinungsdatum :

    01.06.2014


    Format / Umfang :

    644823 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An optimized Particle Filter Target Tracking Technology

    Zhang Yuebing, A. / Ding Yourong, B. | IEEE | 2018


    FPGA-Based Implementation of Dual Kalman Filter for PV MPPT Applications

    Ricco, Mattia / Manganiello, Patrizio / Monmasson, Eric et al. | BASE | 2017

    Freier Zugriff

    CORRELATION FILTER BASED UAV TRACKING SYSTEM ON FPGA

    Yang, K. / Xie, M. / An, J. et al. | TIBKAT | 2021


    High-Performance IIR Filter Implementation Using FPGA

    Vijay, Vallabhuni / Seshagiri Rao, V. R. / Chaitanya, Kancharapu et al. | IEEE | 2022


    Optimized UAV object tracking framework based on Integrated Particle filter with ego-motion transformation matrix

    Askar Wesam / Elmowafy Osama / Youssif Aliaa et al. | DOAJ | 2017

    Freier Zugriff