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Analysis of the One-Pole Notch Filter for Interference Mitigation: Wiener Solution and Loss Estimations

机译:干扰减灾单极凹口滤波器分析:维纳解决方案和损耗估计

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The extreme weakness of the Galileo and GPS signals required the development of different interference mitigation techniques for the reduction of their impact in the receiver chain. One of the main classes of interfering is formed by all those narrowband signals that can be reasonably represented as pure sinusoids with respect to the Galileo/GPS bands. For this kind of interfering the notch filter has proved to be an efficient mitigation technique [3] This work is mainly focused on the analysis of the one-pole notch filter, first introduced in [ 8], and the case of a single interferer modelled as a complex sinusoid is analyzed. This kind of interferer implies the presence of a single spectral line that justify the single pole notch filter. The filter presents a single zero z_0 that is adaptively adjusted in order to minimize the output signal energy. The absolute value of z_0 is not constrained to 1 as in many works, but is adaptively adjusted, providing greater flexibility and an additional freedom degree. So, firstly the notch filter with its adaptive block is presented, and the employed LMS algorithm derived. Then the notch bandwidth and depth (transfer function maximum and minimum values) are analytically derived. Moreover, in order to analyze the asymptotical behaviour of the filter, the work provides a precise and generally valid Wiener solution, that is the optimal one (limit for the LMS). Simulations confirm the derived formulas, show that the interferer is properly individuated and cancelled, and validate the expression of the Wiener solution. Finally the loss introduced by the notch filter in absence of interferer is calculated on the basis of the ratio of the
机译:伽利略和GPS信号的极端弱点需要开发不同的干扰缓解技术,以减少它们在接收器链中的影响。通过所有这些窄带信号形成的主要干扰之一,其可以合理地表示为伽利略/ GPS带的纯正弦曲线。对于这种干扰,陷波滤波器已被证明是一种有效的缓解技术[3]这项工作主要集中在一个极端陷波滤波器的分析中,首先在[8]中介绍,以及模型的单个干扰源的情况作为分析复杂的正弦曲线。这种干扰器意味着存在单个频谱线,证明单极陷波滤波器。过滤器呈现自适应地调整的单个零Z_0,以便最小化输出信号能量。 Z_0的绝对值不受约束为1,如在许多工作中,但是自适应地调整,提供更大的灵活性和额外的自由度。因此,首先提出了具有其自适应块的陷波滤波器,并且所采用的LMS算法导出。然后,分析缺口带宽和深度(传递函数最大值和最小值)。此外,为了分析过滤器的渐近行为,该工作提供了精确且通常有效的维纳解决方案,即最佳的维纳解决方案(LMS的限制)。模拟确认派生公式,表明干扰源被正确地分类和取消,并验证了维纳解决方案的表达。最后,在没有干扰的情况下,陷阱过滤器引入的损失是基于比率计算的

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