• DocumentCode
    3568074
  • Title

    DME pulse interference suppression based on NLS for GPS

  • Author

    Wei Fang ; Renbiao Wu ; Wenyi Wang ; Dan Lu

  • Author_Institution
    Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
  • Volume
    1
  • fYear
    2012
  • Firstpage
    174
  • Lastpage
    178
  • Abstract
    As a part of modernization of GPS, L5 signal is set up for civil aviation exclusively, and takes up exclusive frequency band. However, the DME (Distance Measurement Equipment) signal is already working at the same frequency band, and makes pulse interference on L5 signal with high power, which will cause degradation of SINR (Signal to Interference and Noise Ratio) and failure in tracking and acquisition of L5 signal. On DME interference suppression, the traditional methods will bring loss to useful satellite data. Thus the performance of GPS L5 receiver will suffer from serious degradation. In this paper, a new method for DME interference suppression is proposed. Under NLS (Nonlinear Least Squares) criterion, the DME signal can be treated as the signal of interest, and can be estimated and reconstructed, and thus can be eliminated and suppressed. Compared with traditional methods, the proposed method can reserve more useful satellite data. The performance of new method is verified by numerical simulations.
  • Keywords
    Global Positioning System; distance measurement; failure analysis; interference suppression; least squares approximations; radio receivers; signal reconstruction; DME; GPS L5 receiver; L5 signal; NLS; SINR; civil aviation; distance measurement equipment; failure analysis; frequency band; nonlinear least square; numerical simulations; pulse interference suppression; signal estimation; signal reconstruction; signal to interference and noise ratio; DME; GPS L5; Interference Suppression; NLS; Pulse Interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6491629
  • Filename
    6491629