We consider received-signal-strength-based robust geolocation in mixed line-of-sight/non-line-of-sight propagation environments. Herein, we assume a mode-dependent propagation model with unknown parameters. We propose to jointly estimate the geographical coordinates and propagation model parameters. In order to approximate the maximum-likelihood estimator (MLE), we develop an iterative algorithm based on the well-known expectation and maximization criterion. As compared to the standard ML implementation, the proposed algorithm is simpler to implement and capable of reproducing the MLE. Simulation results show that the proposed algorithm attains the best geolocation accuracy as the number of measurements increases.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Received signal strength-based joint parameter estimation algorithm for robust geolocation in LOS/NLOS environments


    Beteiligte:

    Erscheinungsdatum :

    2013-01-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    A Robust GNSS LOS/NLOS Signal Classifier

    Roi Yozevitch | Online Contents | 2016


    Joint Trajectory and Ranging Offset Estimation for Accurate Tracking in NLOS Environments

    Li, Shenghong / Hedley, Mark / Collings, Iain B. et al. | IEEE | 2020


    Using a received signal strength method for low-cost radio frequency geolocation on an unmanned aerial vehicle

    Womack, A. J. / Budge, Scott E. | British Library Conference Proceedings | 2023


    Train Tracking and Shadowing Estimation Based on Received Signal Strength

    Noureddine, H. / Castelain, D. / Pyndiah, R. | British Library Conference Proceedings | 2011


    Train Tracking and Shadowing Estimation Based on Received Signal Strength

    Noureddine, Hadi / Castelain, Damien / Pyndiah, Ramesh | Springer Verlag | 2011