• DocumentCode
    456651
  • Title

    A Genetic Approach for Coordinate Transformation of GPS Signals

  • Author

    Wu, Chih-Hung ; Chou, Hung-Ju ; Su, Wei-Han

  • Author_Institution
    Dept. of Electron. Eng., Nat. Univ. of Kaohsiung
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    558
  • Lastpage
    561
  • Abstract
    Traditional approach for coordinate transformation is a level-wised process where several sets of equations obtained by geographical survey are invoked, which makes the whole process complicated and introduces the accumulation of calculating errors. This paper presents a genetic-based approach for finding symbolic formulas for transforming coordinate signals received from GPS. In this way, the receiver´s position can be obtained much faster with less computational complexity. We test this concept on different areas in Taiwan and find several new equations that can effectively and better produce accurate coordinates
  • Keywords
    Global Positioning System; genetic algorithms; learning (artificial intelligence); regression analysis; signal processing; GPS; Global Positioning System; Taiwan; computational complexity; coordinate signal transformation; genetic programming; machine learning; symbolic formula; symbolic regression; Computational complexity; Differential equations; Earth; Genetic programming; Global Positioning System; Information management; Machine learning; Navigation; Satellites; Testing; GPS; genetic programming; machine learning; symbolic regression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.6
  • Filename
    1691861