The work presented here applies rank reduction estimator (RARE) to address the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation in a computationally efficient way. Using an array of acoustic vector sensors with inter-vector-sensor nonidealities, the proposed method decouples the azimuth angle estimation from the elevation angle estimation by exploiting the unique array manifold of the acoustic vector sensor, thereby breaking 2D parameter search into two independent one-dimensional (1D) parameter search. To further reduce the computational load, the proposed method uses ESPRIT to self-generate coarse estimates of the sources' arrival angles to start off its RARE-based iterative search.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Decoupled 2D Direction-of-Arrival Estimation using Partly Calibrated Vector Hydrophones


    Beteiligte:
    Yang Song, (Autor:in)


    Erscheinungsdatum :

    2013-10-01


    Format / Umfang :

    610080 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Direction Finding in Partly Calibrated Arrays Exploiting the Whole Array Aperture

    Zhang, Guangbin / Huang, Tianyao / Liu, Yimin et al. | IEEE | 2023



    Direction of arrival estimation

    CHEBIYYAM VENKATA SUBRAHMANYAM CHANDRA SEKHAR / CHO NAM GOOK / DUARTE NATHAN et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Direction-of-Arrival Estimation With A Vector Sensor Using Deep Neural Networks

    Yu, Jianyuan / Howard, William W. / Tait, Daniel et al. | IEEE | 2021


    Direction of Arrival (DOA) Estimation

    Gamba, Jonah | Springer Verlag | 2019