摘要
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 d B的窄带干扰。
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 d B narrow-band interference.
出处
《电子科技》
2016年第3期53-57,共5页
Electronic Science and Technology
关键词
窄带干扰
IIR滤波器
高斯-牛顿算法
最佳收敛因子
narrowband interference
IIR filter
Gauss-Newton algorithm
the optimal convergence factor
