Performance Analysis of FLL Schemes to Track Swept Jammers in an Adaptive Notch Filter

M. Gamba, E. Falletti
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引用次数: 12

Abstract

In the field of Global Navigation Satellite System (GNSS), jamming signals are more than ever a real threat, demanding for an increasing need of countermeasures. Among several proposed detection and mitigation methods developed for specific types of interference, the Adaptive Notch Filter (ANF) is still an attractive solution to mitigate very narrowband interference signals, for its ease of implementation, low computational cost and reduced activation time. ANFs have been widely exploited in literature, with many variations: albeit well known to be particularly effective for Continuous Wave (CW) interferes, an early proof of their suitability also against certain types of GNSS jammers has been shown. In this paper, two recently proposed Frequency Lock Loop (FLL) models to implement the adaptive capability of the ANF are considered: the standard FLL and the FLL with exponential filtering. While both have already been analyzed in the presence of CW interfering signals, with constant carrier frequency, here an evaluation in case of fast sweeping central frequency is conducted, targeting the features of some of the most common jammers detected in the GPS LI/Galileo E1 band. A comparison in terms of tracking capability and noise performance is presented. While the standard FLL shows to be able to successfully track and mitigates jamming signals, the exponential filtering FLL proves it is not up to, suffering particularly from frequency discontinuities, which commonly characterize such kind of interferers.
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自适应陷波滤波器中FLL跟踪扫频干扰器的性能分析
在全球卫星导航系统(GNSS)领域,干扰信号日益成为现实威胁,对对抗手段的需求日益增长。在针对特定类型干扰开发的几种检测和缓解方法中,自适应陷波滤波器(ANF)仍然是一种有吸引力的解决方案,用于缓解非常窄带干扰信号,因为它易于实现,计算成本低,并且减少了激活时间。anf在文献中被广泛利用,有许多变化:尽管众所周知,它对连续波(CW)干扰特别有效,但已有早期证据表明,它也适用于某些类型的GNSS干扰器。本文考虑了最近提出的两种实现ANF自适应能力的锁频环模型:标准锁频环模型和带指数滤波的锁频环模型。虽然两者都已经在恒定载波频率下存在连续波干扰信号的情况下进行了分析,但这里进行了快速扫频中心频率情况下的评估,目标是在GPS LI/Galileo E1波段检测到的一些最常见干扰器的特征。在跟踪能力和噪声性能方面进行了比较。虽然标准FLL显示能够成功地跟踪和减轻干扰信号,但指数滤波FLL证明它无法达到,特别是遭受频率不连续的影响,这是此类干扰的常见特征。
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