In this paper, a novel geometrical localization scheme based on the Received Signal Strength Indicator (RSSI) is developed for a group of unmanned aerial vehicles (UAVs). Since RSSI-based localization does not require complicated hardware, it is the correct choice for RF target localization. In this promising work, unlike the other techniques given in the literature, transmit power or path loss exponent information is not needed. The procedure depends on the received power difference of each receiver in UAVs. In the developed scheme, four UAVs forming two groups fly in perpendicular planes. Each UAV in the group moves in a circle, keeping its distance from the plane’s center until it gets equal power with the other members of its group. Using this movement rate, lines passing through the source position are calculated. The intersection of these lines gives the position of the RF target. However, in a noisy environment, the lines do not intersect at one point. Therefore, the algorithm given in the manuscript finds a point that has a minimum distance to all lines and is also developed. Simulation results are provided at the end of the manuscript to verify our theoretical claims.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    RF Source Localization Using Multiple UAVs through a Novel Geometrical RSSI Approach


    Beteiligte:
    Nurbanu Güzey (Autor:in)


    Erscheinungsdatum :

    2022




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Assessing the capacity of man-portable UAVs for network access point localization, using RSSI link data

    Ferreira, Sergio / Carvalho, Guilherme / Ferreira, Filipe et al. | IEEE | 2014


    RSSI-Based Ranging for Pedestrian Localization

    Golestanian, Mehdi / Lu, Hongsheng / Poellabauer, Christian et al. | IEEE | 2018


    RSSI-based mobile robot localization datasets

    Maidana, Renan | BASE | 2018

    Freier Zugriff

    RSSI - RSSI Exhibitors List

    Online Contents | 2002


    Interval-Based Localization using RSSI Comparison in MANETs

    Mourad, F. / Snoussi, H. / Richard, C. | IEEE | 2011