AbstractThe Ultra-Wide Bandwidth (UWB) signal has received much attention due to its penetrability and high positioning accuracy with the increasing demand for indoor positioning, in which Global Positioning System (GPS) signal is challenging. In practice, there are two main problems with indoor 3D positioning based on UWB. One is that the quality of Time Difference of Arrival (TDOA) measurements varies in different observation environments. Namely, the time delay generated by Non-Line-of-Sight (NLOS) causes an enormous deviation from the real distance and cannot be well distinguished from the measurement reducing the accuracy of positioning. The other problem is that the height estimates, which are calculated using the conventional least square method, are extremely unstable due to the limitation of the Base Station (BS) layout. To address these problems, this paper presents Robust Ridge Estimation (RRE) for UWB positioning. Firstly, NLOS errors are detected, and the weights of each measurement are automatically adjusted in accordance with their quality, which is represented by the residuals between the estimated measurements and real observations. Then, the ridge estimation algorithm is applied iteratively for position estimation based on a robust estimation framework, which updates the weight of the measurements at each iteration. This approach transforms unbiased estimation to biased estimation by adding constraints that minimize the weighted quadratic sum of some parameters. As a result, the impact of NLOS can be reduced. The experimental result shows an improvement of RMSE in positioning with 45.71% when compared with ridge estimation in an NLOS/Line-of-Sight (LOS) mixed environment and an increase of robustness to NLOS with 56.11%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A three-dimensional robust ridge estimation positioning method for UWB in a complex environment


    Beteiligte:
    Li, Shuaixin (Autor:in) / Li, Guangyun (Autor:in) / Wang, Li (Autor:in) / Zhou, Yanglin (Autor:in) / Peng, Yifan (Autor:in) / Fu, Jingyang (Autor:in)

    Erschienen in:

    Advances in Space Research ; 60 , 12 ; 2763-2775


    Erscheinungsdatum :

    2017-10-24


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Three dimensional manufacturing positioning system

    HART COLIN W | Europäisches Patentamt | 2019

    Freier Zugriff

    THREE-DIMENSIONAL POSITION ESTIMATION DEVICE AND THREE-DIMENSIONAL POSITION ESTIMATION METHOD

    NAKAMATSU YUSUKE / SHIGETA ASAKO / WATANABE SHINTARO et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    GNSS/UWB integrated positioning with robust Helmert variance component estimation

    Yan, Jun / Yang, Cheng / Fan, Wenying et al. | Elsevier | 2023


    Three-dimensional optimal Kalman algorithm for GPS-based positioning estimation of the stationary object

    Villalon-Turrubiates, I.E. / Ibarra-Manzano, O.G. / Shmaliy, Y.S. et al. | IEEE | 2003