Numerous approaches exist for locating cellular base stations using UE measurements. Many of these employ signal strength as a basis to determine the position of the base station. However, partly due to the challenging radio environments encountered in the real world, these approaches often achieve limited accuracy. Here we present a novel localization method named sector fitting, which employs fusion of geometrically-based scores to locate the base station based only on the geographical distribution of the measurements and their cell identity. The method is evaluated by positioning LTE eNodeBs using a large set of measurements collected by modems onboard trains. The results show that sector fitting produces considerably more accurate position estimates than any of the considered alternative methods for the subset of eNodeBs it is applicable to.


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    Title :

    Sector Fitting - A Novel Positioning Algorithm for Sectorized Transmitters


    Contributors:


    Publication date :

    2020-05-01


    Size :

    6592795 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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