• DocumentCode
    649080
  • Title

    A new fast satellite selection algorithm for BDS-GPS receivers

  • Author

    Fanchen Meng ; Bocheng Zhu ; Shan Wang

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    371
  • Lastpage
    376
  • Abstract
    Satellite selection plays an important role in preventing unnecessary computation for the receivers with limited processing units in GPS and BDS dual-mode Global Navigation Satellite System (GNSS). Conventional optimal satellite selection algorithm for computing Geometric Dilution of Precision (GDOP) is full of complexity, which restricts the implementation of real-time position resolving significantly. In this paper, we propose a new fast satellite selection algorithm based on both Newton´s identities for GDOP fast computation and optimal satellite geometric distribution for less cycle computation. We find an effective closed-form formula for computing GDOP, avoiding traditional matrix inversion and multiplying. According to optimal satellite geometric distribution, we decrease computational cycles at the same time, which enhance the efficiency of satellite selection dramatically. Simulation and real measurement show that this algorithm can reduce more than 99% computational complexity by the cost of little higher GDOP whereas achieve better performance compared with quasi-optimal satellite selection algorithm.
  • Keywords
    Global Positioning System; matrix algebra; radio receivers; satellite navigation; BDS-GPS receivers; GDOP; GNSS; Newton´s identities; dual-mode global navigation satellite system; fast satellite selection algorithm; geometric dilution of precision; optimal satellite geometric distribution; real-time position; Dual-mode GNSS; Fast satellite selection algorithm; GDOP; Newton´s identities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SiPS), 2013 IEEE Workshop on
  • Conference_Location
    Taipei City
  • ISSN
    2162-3562
  • Type

    conf

  • DOI
    10.1109/SiPS.2013.6674535
  • Filename
    6674535