This paper presents a novel algorithm to reduce the complexity for Direction of Arrival estimation in an outdoor multipath scenario. The proposed Adaptive Search Space Quantization (ASSQ) algorithm is able to decrease the number of beamforming vectors compared to state of the art and thus matrix multiplications, achieving the same estimation accuracy. The idea of the algorithm is to adaptively decrease the search space and to increase the quantization level in multiple steps. We present numerical results from exhaustive and limited search using a three dimensional channel model, achieving an estimation accuracy of less than 1 m with a probability of 98%.


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    Titel :

    Complexity Reduction for Direction of Arrival Estimation with Massive MIMO


    Beteiligte:
    Kurras, Martin (Autor:in) / Thiele, Lars (Autor:in) / Haustein, Thomas (Autor:in) / Peng, Xiao (Autor:in) / Ariyoshi, Masayuki (Autor:in)


    Erscheinungsdatum :

    01.09.2016


    Format / Umfang :

    454569 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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