• DocumentCode
    1504298
  • Title

    A Fast Satellite Selection Algorithm: Beyond Four Satellites

  • Author

    Zhang, Miaoyan ; Zhang, Jun

  • Author_Institution
    Beihang Univ., Beijing, China
  • Volume
    3
  • Issue
    5
  • fYear
    2009
  • Firstpage
    740
  • Lastpage
    747
  • Abstract
    Satellite selection is an important executive logic to prevent unnecessary navigation signals in the first place for Global Positioning System (GPS) receivers with limited number of channels and real-time processing power, such as those used in mobile phones, cars, and space crafts. In this paper, we propose a fast satellite selection algorithm to select more than four satellites based on the optimal geometries, which can obtain the smallest geometric dilution of precision (GDOP) values. The main idea of this fast algorithm is to select a subset of all satellites in view whose geometry is the most similar to the optimal geometry. Computer simulation shows that the consumed time of this algorithm is very close to that of the quasi-optimal satellite selection algorithm and obviously lower than that of the traditional optimal satellite selection algorithm to minimize GDOP factor, but the increased GDOP values relative to the minimal GDOP values are much smaller than those of the quasi-optimal satellite selection algorithm.
  • Keywords
    Global Positioning System; radio receivers; satellite communication; GDOP; GPS; Global Positioning System; geometric dilution of precision; satellite selection algorithm; Geometry; Global Positioning System; Iterative algorithms; Mobile handsets; Robustness; Satellite constellations; Satellite navigation systems; Signal processing; Signal processing algorithms; Space vehicles; Geometric dilution of precision (GDOP); Global Navigation Satellite System (GNSS); satellite selection;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2009.2028381
  • Filename
    5290368