In this paper, we introduce a novel direction-finding algorithm for a multiscale sensor array, that is, an array presenting multiple scales of spatial invariance.We show that the collected data can be represented as a Candecomp/Parafac model for which we analyze the identifiability properties. A two-stage algorithm for direction-of-arrival estimation with such an array is also proposed. This approach generalizes the results given in [1] to an array that presents an arbitrary number of spatial invariances.We illustrate, on two particular array geometries, that our method outperforms, in some difficult scenarios, the ESPRIT-based approach introduced in [2], the ESPRIT-MUSIC of [3], and the tensor-ESPRIT of [4].


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    Titel :

    Multilinear direction finding for sensor-array with multiple scales of invariance


    Beteiligte:
    Miron, Sebastian (Autor:in) / Yang Song (Autor:in) / Brie, David (Autor:in) / Wong, Kainam Thomas (Autor:in)


    Erscheinungsdatum :

    01.07.2015


    Format / Umfang :

    1487077 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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