We design three statistical tests to ascertain whether radar data comply with the hypotheses of multivariate Gaussianity, spatial homogeneity, and covariance persymmetry, respectively. For the first issue we develop a statistical procedure based on quadratic distributional distances, which exploits the representation of Gaussian vectors in generalized spherical coordinates. As to the spatial homogeneity we propose a technique, based on the Kolmogorov-Smirnov (KS) test, relying on the properties of quadratic forms constructed from Gaussian vectors and Wishart distributed matrices. Finally, in order to analyze the persymmetry property of the disturbance covariance matrix, we design a testing procedure based on the generalized likelihood ratio test (GLRT). We thus apply the new tests to L-band experimentally measured clutter data, collected by the MIT Lincoln Laboratory Phase One radar, at the Katahdin Hill site. The results show that the multivariate Gaussian hypothesis for the considered data file is reasonable. On the contrary the assumption of spatial homogeneity can be done only within small clutter regions which, in general, exhibit also a persymmetric covariance matrix.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Statistical tests for higher order analysis of radar clutter: their application to L-band measured data


    Beteiligte:
    Conte, E. (Autor:in) / De Maio, A. (Autor:in) / Farina, A. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    1184238 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Statistical analyses of measured radar ground clutter data

    Billingsley, J.B. / Farina, A. / Gini, F. et al. | IEEE | 1999



    Characteristics of sea clutter measured from E-3A high radar platform

    Chen, P.W. / Havig, T.F. / Morehin, W.C. | Tema Archiv | 1977