This paper presents the results obtained in our research about application of advanced signal processing to GPS based position estimation. This technique can be used in low-cost standalone GPS receiver with robust and high accuracy. The motivation of this research is to address the GPS positioning problems in vehicle navigation under bad circumstances where the visible satellites are visible satellites are variable frequently or less than four. A new model for position and velocity estimation are developed for nonlinear filtering. The model is nonlinear and has variable measurement number for coping with an arbitrary number of satellites. The model is investigated applying it to unscented Kalman filter for position estimation. The first experimental results that comprise the comparison of estimation results obtained with different algorithms are then presented. Comparison shows that our approaches provide better estimation than other solutions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Nonlinear GPS models for position estimate using low-cost GPS receiver


    Contributors:
    Mao, X. (author) / Wada, M. (author) / Hashimoto, H. (author)


    Publication date :

    2003-01-01


    Size :

    438034 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Nonlinear GPS Models for Position Estimate Using Low-Cost GPS Receiver

    Mao, X. / Wada, M. / Hashimoto, H. et al. | British Library Conference Proceedings | 2003


    Using tactile sensors to estimate care receiver position on dual arms of robot

    Mori, Yuki / Ikeura, Ryoujun / Ding, Ming | IEEE | 2013


    A Position Fixing Algorithm for the Low-Cost GPS Receiver

    Noe, Philip S. / Myers, Kenneth A. | IEEE | 1976


    VEHICLE POSITION ESTIMATE USING INFORMATION FROM INFRASTRUCTURE

    ADIREDDY GANESH / ZYDEK BASTIAN | European Patent Office | 2019

    Free access