Accurate statistical characterization of electromagnetic propagation is necessary for the design and deployment of radio systems. State-of-the-art channel models such as the Enhanced COST 2100 Channel Model utilize the concept of clusters of multipath components, and characterize channels by their inter- and intra-cluster statistics. Automatic clustering algorithms have been proposed in literature, but the subjective nature of the problem precludes any from being deemed objectively correct. In this paper, a new algorithm is proposed, based on density-reachability and ground truth receiver pose, with the explicit focus of extracting clusters for the purpose of channel characterization. Measurements of downlink signals from a commercial LTE base station by a passenger vehicle driving in an urban environment with a massive antenna array on the roof are used to evaluate the repeatability and intuitiveness of the proposed clustering algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Flexible Density-based Multipath Component Clustering Utilizing Ground Truth Pose


    Beteiligte:
    Whiton, Russ (Autor:in) / Chen, Junshi (Autor:in) / Tufvesson, Fredrik (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    6191780 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Satellite markers: a simple method for ground truth car pose on stereo video

    Gil, Gustavo / Savino, Giovanni / Piantini, Simone et al. | SPIE | 2018


    POSE COMPONENT

    ADAMS DEREK / KRAVIT GREGORY D / LIU CHENGZHI WINSTON et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    POSE COMPONENT

    ADAMS DEREK / KRAVIT GREGORY / LIU CHENGZHI et al. | Europäisches Patentamt | 2023

    Freier Zugriff