Distributed signal detection schemes have received significant attention recently, but usually under the assumption of stationary observations which are independent from sensor to sensor. Here, order statistics based constant false alarm rate (OS-CFAR) detection techniques are applied to a distributed detection system with nonstationary observations where the signal observations are assumed to be dependent from sensor to sensor. Cases are considered where weak narrowband random signals are observed in additive Gaussian noise-plus-clutter of unknown power. Necessary conditions are given which specify the best sensor thresholds for some n-sensor cases. The best schemes using nonrandomized fusion rules are found for some specific two-sensor cases. The best schemes map use either AND or OR fusion rules depending on the specific false alarm probability and the number of reference observations used in the OS-CFAR scheme. Distributed OS-CFAR and cell-averaging CFAR (CA-CFAR) schemes are compared in terms of their capability to maintain false alarm probability in nonhomogeneous backgrounds. At least for the specific cases we have studied, there are OS-CFAR schemes which generally outperform the CA-CFAR schemes in this regard.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Threshold optimization for distributed order-statistic CFAR signal detection


    Beteiligte:
    Blum, R.S. (Autor:in) / Jinfen Qiao (Autor:in)


    Erscheinungsdatum :

    01.01.1996


    Format / Umfang :

    2748742 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Three types of distributed CFAR detection based on local test statistic

    Jian Guan, / Ying-Ning Peng, / You He, et al. | IEEE | 2002


    Performance of MAX family of order-statistic CFAR detectors

    Ritcey, J.A. / Hines, J.L. | IEEE | 1991



    Analysis of some modified ordered statistic CFAR: OSGO and OSSO CFAR

    Elias-Fuste, A.R. / de Mercado, M.G.G. / de los Reyes Davo, E. | IEEE | 1990