On a new weighting matrix to enhance the accuracy of stand-alone GNSS positioning

Jean Philippe Montillet*, Kegen Yu

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    This paper focuses on location accuracy enhancement and performance comparison for global navigation satellite systems (GNSS) based positioning in light multipath propagation environments. The well-known linear iterative least-squares (LS) estimator algorithm performs the location of a ground (mobile) terminal. A sliding window and subspace decomposition (SD) based approach is proposed to generate coefficients for weighting the pseudorange measurements between the ground receiver and a set of satellites. Simulation results with real pseudorange measurement data (recorded at two different scenarios) demonstrate that the proposed SD-based LS algorithm significantly outperforms the existing LS algorithm, with root mean square error (RMSE) reduced by more than 0.7m.

    Original languageEnglish
    Title of host publication2012 International Symposium on Communications and Information Technologies, ISCIT 2012
    Pages1045-1050
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
    Duration: 2 Oct 20125 Oct 2012

    Publication series

    Name2012 International Symposium on Communications and Information Technologies, ISCIT 2012

    Conference

    Conference2012 International Symposium on Communications and Information Technologies, ISCIT 2012
    Country/TerritoryAustralia
    CityGold Coast, QLD
    Period2/10/125/10/12

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