• DocumentCode
    1584566
  • Title

    Research and comparison of anti-jamming performances of LMS and LCMV algorithm based on MATLAB simulation

  • Author

    Nan, He ; Yulin, He

  • Author_Institution
    Watercraft Teaching & Training Team, Zhenjiang Watercraft Coll., Zhenjiang, China
  • Volume
    1
  • fYear
    2011
  • Firstpage
    98
  • Lastpage
    101
  • Abstract
    Airspace anti-jamming technology is an effective program to solve the problem that signal reception of GNSS receiver which can be easily interfered, and the key of the technology is to choose the proper adaptive algorithm. The principles of LMS (Least mean square) and LCMV (linear-constrained-minimum-variance) algorithm are illustrated and compared in some parameters such as convergence rate, SNR (signal- noise-ratio) and BER (bit-error-ratio), and so on. These algorithms are simulated by MATLAB, and combined with the model of multi-antenna array. It is indicated that the convergence rate of LCMV is a little bit slower than LMS algorithm, but the average value of error and convergence efficiency of former is better than the latter when stabilized at last.
  • Keywords
    antenna arrays; error statistics; interference (signal); jamming; least mean squares methods; satellite navigation; BER; GNSS receiver; LCMV algorithm; LMS algorithm; MATLAB simulation; SNR; adaptive algorithm; airspace antijamming technology; bit-error-ratio; convergence rate; least mean square; linear-constrained-minimum-variance algorithm; multiantenna array; signal reception; signal-noise-ratio; Array signal processing; Arrays; Computer languages; Least squares approximation; Robustness; Signal to noise ratio; Size measurement; LCMV algorithm; LMS algorithm; multi-antenna array;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8158-3
  • Type

    conf

  • DOI
    10.1109/ICEMI.2011.6037688
  • Filename
    6037688