The problem of estimating the covariance matrix of a primary vector from heterogeneous samples and some prior knowledge is addressed, under the framework of knowledge-aided space-time adaptive processing (KA-STAP). More precisely, a Gaussian scenario is considered where the covariance matrix of the secondary data may differ from the one of interest. Additionally, some knowledge on the primary data is supposed to be available and summarized in a prior matrix. Two KA-estimation schemes are presented in a Bayesian framework whereby the minimum mean square error (MMSE) estimates are derived. The first scheme is an extension of a previous work and takes into account the nonhomogeneity via an original relation. In search of simplicity and to reduce the computational load, a second estimation scheme, less complex, is proposed and omits the fact that the environment may be heterogeneous. Along the estimation process, not only the covariance matrix is estimated but also some parameters representing the degree of a priori and/or the degree of heterogeneity. Performance of the two approaches are then compared using STAP synthetic data. STAP filter shapes are analyzed and also compared with a colored loading technique.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Knowledge-Aided STAP in Heterogeneous Clutter using a Hierarchical Bayesian Algorithm


    Beteiligte:
    Bidon, S. (Autor:in) / Besson, O. (Autor:in) / Tourneret, Jean-Yves (Autor:in)


    Erscheinungsdatum :

    2011-07-01


    Format / Umfang :

    3495415 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Hybrid Detection Approach for STAP in Heterogeneous Clutter

    Aboutanios, E / Mulgrew, B | IEEE | 2010


    Stap using knowledge-aided covariance estimation and the fracta algorithm

    Blunt, S.D. / Gerlach, K. / Rangaswamy, M. | IEEE | 2006


    Evaluation of Knowledge-Aided STAP Using Experimental Data

    Bergin, Jameson S. / Kirk, David R. / Chaney, Guy et al. | IEEE | 2007


    Reduced Dimension STAP Based on Sparse Recovery in Heterogeneous Clutter Environments

    Zhang, Wei / An, Ruixue / He, Ningyu et al. | IEEE | 2020