• DocumentCode
    495307
  • Title

    A New GPS Adaptive Anti-jamming Algorithm in Multi-interference Circumstance

  • Author

    Wu, Yuhang ; Lu, Dejian ; He, Haijian ; Chen, Xiuwan

  • Author_Institution
    Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    175
  • Lastpage
    179
  • Abstract
    In order to find a method to eliminate the GPS receiverpsilas interference, the paper studied the principle of two conventional adaptive algorithms: Sample Matrix Inversion (SMI) adaptive algorithm and Gram-Schimit (GS) algorithm based on adaptive digital wave beam producing process. This paper analyzed a new algorithm: Improved Gram-Schmit (IGS) algorithm. Also, simulations of three algorithms are carried out and anti-jamming performance of them is compared. Conclusion is that IGS algorithm is a balanced fine algorithm because of its low computation cost, stable interference suppression performance, and easy engineering implementation process.
  • Keywords
    Global Positioning System; interference suppression; matrix algebra; radio receivers; radiofrequency interference; GPS adaptive anti-jamming algorithm; GPS receiver; Gram-Schimit algorithm; IGS algorithm; SMI adaptive algorithm; adaptive algorithms; adaptive digital wave beam producing process; multiinterference circumstance; sample matrix inversion; stable interference suppression performance; Adaptive algorithm; Algorithm design and analysis; Global Positioning System; Interference elimination; Interference suppression; Jamming; Optimal control; Sensor arrays; Shape control; Weight control; Adaptive Algorithm; Antenna Array; Interference Suppression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.399
  • Filename
    5170684