RSS-Based Localization via Bayesian Ranging and Iterative Least Squares Positioning

Angelo Coluccia, Fabio Ricciato

    Publikation: Beitrag in FachzeitschriftArtikelBegutachtung


    In the framework of range-based localization from {Received Signal Strength} (RSS) measurements, we propose a novel Bayesian formulation of the ranging problem alternative to the common approach of inverting the Path-Loss formula. Additionally, we consider an alternative to the conventional lateration stage based on an Iterative Least Squares (ILS). Numerical results show that the combination of the proposed approaches improves considerably the accuracy of range-based localization with only a slight increase of computational complexity, thus reducing the gap with the more complex range-free methods.
    Seiten (von - bis)873-876
    FachzeitschriftIEEE Communications Letters
    PublikationsstatusVeröffentlicht - 2014

    Research Field

    • Ehemaliges Research Field - Mobility Systems


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