A polynomial approach for maximum-likelihood (ML) estimation of superimposed signals in time-series problems and array processing was recently proposed. This technique was applied successfully to linear uniform arrays and to uniformly sampled complex exponential signals. However, uniformly spaced arrays are not optimal for minimum variance estimation of bearing, range or position, and uniform sampling of signals is not always possible in practice. The authors make use of the expectation-maximization algorithm to apply the polynomial approach to sublattice arrays and to missing samples in time-series problems.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Nonuniform array processing via the polynomial approach


    Beteiligte:
    Weiss, A.J. (Autor:in) / Willsky, A.S. (Autor:in) / Levy, B.C. (Autor:in)


    Erscheinungsdatum :

    01.01.1989


    Format / Umfang :

    574457 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A Multi-scale Approach to Nonuniform Diffusion

    Whitaker, R. T. / Pizer, S. M. | British Library Online Contents | 1993


    DOA Estimation of Mixed Circular and Noncircular Sources Using Nonuniform Linear Array

    Zhang, Xue / Zheng, Zhi / Wang, Wen-Qin et al. | IEEE | 2022


    Array Algebra Polynomial Fitting for Image Segmentation

    Wiman, H. | British Library Online Contents | 1996


    Location and Imaging of Moving Targets using Nonuniform Linear Antenna Array SAR

    Gang Li, / Jia Xu, / Ying-Ning Peng, et al. | IEEE | 2007