›› 2016, Vol. 29 ›› Issue (3): 53-.

• 论文 • 上一篇    下一篇



  1. (1.西安电子科技大学 电子工程学院,陕西 西安 710071;2.北京理工大学 生命学院,北京 100021)
  • 出版日期:2016-03-15 发布日期:2016-03-18
  • 作者简介:赵月露(1989—),女,硕士研究生。研究方向:卫星导航接收机窄带干扰抑制。

Research on Narrowband Interference Suppression Algorithm for Satellite Navigation Receiver

ZHAO Yuelu,JI Lei   

  1. (1.School of Electronic Engineering,Xidian University,Xi'an 710071,China;
    2.School of Life Science,Beijing Institute of Technology,Beijing 100021,China)
  • Online:2016-03-15 Published:2016-03-18


在GNSS服务过程中,地面接收到的卫星导航信号的功率较小,且易受到周围复杂电磁干扰影响,这将会导致卫星无法正常定位。针对常见的窄带干扰,介绍一种新型自适应全通IIR陷波器,自适应算法采用高斯-牛顿迭代法,通过跟踪窄带干扰频点,对其频点进行陷波。文中在其基础上进行改进,在每次迭代过程中采用最佳收敛因子,最大程度地减少均方误差。这种算法可导致更快的收敛速度和更高的估计精度。仿真结果表明,IIR滤波器可有效去除高达70 dB的窄带干扰。

关键词: 窄带干扰, IIR滤波器, 高斯-牛顿算法, 最佳收敛因子


In GNSS service process,the power of the satellite navigation signal received on the ground is very small and easily affected by surrounding complex electromagnetic interference,which can lead to failure in satellite positioning.e.A new adaptive all-pass notch filter based on the Gauss-Newton algorithm by which the frequency points are trapped by tracking narrow-band interference frequency points is introduced for the common narrowband interference.This algorithm is improved by using the best convergence factor in each iteration to reduce the mean square error.This improved algorithm enjoys a faster convergence speed and higher estimation precision.The simulation results show that the IIR filter can effectively remove up to 70 dB narrow-band interference.

Key words: narrowband interference;IIR filter;Gauss Newton algorithm;the optimal convergence factor


  • TN967.1