In a parallel distributed detection system each local detector makes a decision based on its own observations and transmits its local decision to a fusion center, where a global decision is made. Given fixed local decision rules, in order to design the optimal fusion rule, the fusion center needs to have perfect knowledge of the performance of the local detectors as well as the prior probabilities of the hypotheses. Such knowledge is not available in most practical cases. We propose a blind technique for the M-ary distributed detection problem. The occurrence number of a possible decision combination at all local detectors is multinomially distributed with the occurrence probability being a nonlinear function of the prior probabilities of hypotheses and the parameters describing the performance of local detectors. We derive least squares (LS) and maximum likelihood (ML) estimates of unknown parameters using local decisions and compare their individual performance. We also derive analytically the overall detection performance for both binary and M-ary distributed detection and discuss the difference of the overall detection performance obtained using the estimated values of unknown parameters and their true values. Finally, we demonstrate the applicability of our results through numerical examples.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimal Distributed Detection of Multiple Hypotheses using Blind Algorithm


    Beteiligte:
    Bin Liu, (Autor:in) / Jeremić, Aleksandar (Autor:in) / Wong, Kon Max (Autor:in)


    Erscheinungsdatum :

    2011-01-01


    Format / Umfang :

    2941469 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Hypotheses Testing in a Distributed Environment

    Sadjadi, Firooz A. | IEEE | 1986


    A system to manage multiple hypotheses

    LIND, HENRIK | AIAA | 1989


    Blind adaptive decision fusion for distributed detection

    Mirjalily, G. / Zhi-Quan Luo, / Davidson, T.N. et al. | IEEE | 2003


    Blind Adaptive Decision Fusion for Distributed Detection

    Mirjalily, G. | Online Contents | 2003