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

Jean-Philippe Montillet, Kegen Yu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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)
Subtitle of host publicationproceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1045-1050
Number of pages6
ISBN (Electronic)9781467311571, 9781467311557
ISBN (Print)9781467311564
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
Duration: 2 Oct 20125 Oct 2012

Other

Other2012 International Symposium on Communications and Information Technologies, ISCIT 2012
CountryAustralia
CityGold Coast, QLD
Period2/10/125/10/12

Keywords

  • GNSS
  • satellite positioning
  • subspace decomposition
  • least-squares

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