In this article, wideband 3-D source localization utilizing only 1-D angle measurements based on a general distributed linear array (in lieu of planar array) network is studied. Instead of fusing the independent directions of arrival estimated by individual subarrays to form the final source location, a group sparsity-based localization method is proposed to exploit the information acquired by all receivers jointly with the corresponding closed-form Cramér–Rao bound for 3-D localization derived. Simulation results demonstrate that improved performance and robustness is achieved by our proposed method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Group Sparsity-Based Wideband 3-D Localization Using a Distributed Linear Array Network


    Beteiligte:
    Wu, Hantian (Autor:in) / Shen, Qing (Autor:in) / Zhou, Junwei (Autor:in) / Liu, Wei (Autor:in) / Li, Wei (Autor:in) / Cui, Wei (Autor:in)


    Erscheinungsdatum :

    01.04.2025


    Format / Umfang :

    1142415 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Visual tracking based on group sparsity learning

    Wang, Y. / Hu, S. / Wu, S. | British Library Online Contents | 2015


    Distributed Localization and Control of Quadrotor UAVs Using Ultra-Wideband Sensors

    Mack, Bryce / Noe, Christopher / Rice, Trevor et al. | IEEE | 2019


    Angle of arrival measurement using wideband linear phased array

    Liou, L. L. / Lin, D. M. / Tsui, J. T. et al. | IEEE | 2009


    SCOOP: A Real-Time Sparsity Driven People Localization Algorithm

    Golbabaee, M. | British Library Online Contents | 2014