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New Adaptive All-pass Based Notch Filter for Narrowband/FM Anti-jamming GPS Receivers

机译:适用于窄带/ FM抗干扰GPS接收机的新型基于自适应全通的陷波滤波器

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Abstract The global positioning system (GPS), which provides accurate positioning and timing information, has become a commonly used navigation instrument for many applications. The application of a new adaptive all-pass based notch filter (ANFA) for narrowband/FM interference suppression and frequency estimation in GPS receivers is proposed. An ANFA structure that achieves better unbiased characteristics with its coefficients is employed to accurately estimate the narrowband interfering signals in online fashion. A variable convergence factor that optimizes the maximal mean square error (MSE) reduction in each iteration is applied in a modified adaptive Gaussian-Newton (MAGN) algorithm. The proposed MAGN algorithm can lead to both faster convergence speed and higher estimation accuracy. Simulation results show that the ANFA offers a better performance than conventional linear predictors in terms of the SNR improvement and the mean output power (MOP) under the interference environments of interest.
机译:摘要提供精确定位和定时信息的全球定位系统(GPS)已成为许多应用中常用的导航工具。提出了一种新的自适应全通陷波滤波器(ANFA)在GPS接收机中窄带/ FM干扰抑制和频率估计中的应用。采用其系数可实现更好的无偏特性的ANFA结构,以在线方式准确估算窄带干扰信号。在改进的自适应高斯-牛顿(MAGN)算法中应用了在每次迭代中优化最大均方误差(MSE)降低的变量收敛因子。所提出的MAGN算法可以导致更快的收敛速度和更高的估计精度。仿真结果表明,在感兴趣的干扰环境下,ANFA在信噪比改善和平均输出功率(MOP)方面比常规线性预测器具有更好的性能。

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