The distorted sensors in an array system will degrade the signal-to-interference-plus-noise ratio of received signal, resulting in performance deterioration. Without knowing the number of source signals, this article focuses on direction-of-arrival (DOA) estimation for a uniform linear array, in whicha small fraction of sensors are distorted. Meanwhile, source enumeration and detection of distorted sensors are realized. We model the array system with distorted sensors by introducing unknown gain and phase errors to the output signals, where the observations corresponding to the distorted sensors are treated as outliers. In this way, we tackle the DOA estimation task under the framework of low-rank and row-sparse matrix decomposition. We directly adopt the rank function and $\ell _{2,0}$-norm to obtain the low-rank and row-sparse matrices, respectively, instead of utilizing their surrogates as in the conventional methods. Therefore, the approximation bias is avoided. In detail, rank and $\ell _{2,0}$-norm optimization is converted to $\ell _{0}$-norm minimization. To solve it, we propose a shifted median absolute deviation-based strategy, achieving adaptive hard-thresholding control. The resultant optimization problem is then handled by proximal block coordinate descent, and the convergences of the objective function value and the solution sequence are proved. Extensive simulation results demonstrate the superior performance of the proposed algorithm in terms of DOA estimation, source number estimation, and distorted sensor detection.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust DOA Estimation With Distorted Sensors


    Beteiligte:
    Wang, Xiang-Yu (Autor:in) / Li, Xiao-Peng (Autor:in) / Huang, Huiping (Autor:in) / So, Hing Cheung (Autor:in)


    Erscheinungsdatum :

    01.10.2024


    Format / Umfang :

    1851099 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Shape Estimation of Distorted Flexible Structures

    Hakim, S. / Fuchs, M. / American Institute of Aeronautics and Astronautics et al. | British Library Conference Proceedings | 1996


    Shape estimation of distorted flexible structures

    Hakim, S. / Fuchs, M. | AIAA | 1996


    Improved State Estimation in Distorted Magnetic Fields

    Brommer, Christian / Bohm, Christoph / Steinbrener, Jan et al. | IEEE | 2020


    Characterization of DC current sensors under distorted conditions for railway applications

    van den Brom, Helko E. / van Leeuwen, Ronald / Hornecker, Ralph | IEEE | 2018