In a recent paper we made an algebraic characterization of the problem of resolving closely spaced plane waves incident on a linear array. The characterization encompassing several superresolution processing methods and encompassed the Wiener, maximum likelihood, and Pisarenko methods as well as suggesting new procedures. In this paper we amplify the algebraic approach and extend the results to consider correlated noise. An adaptive algorithm is given for a particularly effective processing method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Algebraic Approach to Superresolution Array Processing


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    1983-01-01


    Format / Umfang :

    2311306 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates

    Zefreh, K.Z. / van Aarle, W. / Batenburg, K.J. et al. | British Library Online Contents | 2013


    Superresolution Techniques for Sun-Sensor Processing

    Enright, J.P. | Online Contents | 2008


    Angular superresolution for phased antenna array by phase weighting

    Wei-Xing Sheng, / Da-Gang Fang, | IEEE | 2001



    Efficient algorithm for superresolution in image processing

    Lahzami, M. / Laminie, J. / Rouge, Bernard et al. | SPIE | 1994