Impact and Detection of GNSS Jammers on Consumer Grade Satellite Navigation Receivers

Borio, Daniele; Dovis, Fabio; Kuusniemi, Heidi; Presti, Letizia Lo

doi:10.1109/jproc.2016.2543266

Cited by 124 publications

(63 citation statements)

References 21 publications

(36 reference statements)

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“…The use of hardware-simulated GNSS data collected in the presence of jamming was considered more realistic and appropriate than Monte Carlo simulations for demonstrating the effectiveness of RTD processing. In the simulations, baseband GPS L1 coarse aquisition (C/A) signal samples were generated according to (2) with BB [n] modeled as AWGN. The simulation parameters used for the computa- Abbreviations: C/A, coarse aquisition; SNR, signal-to-noise power ratio.…”

Section: Validation Through Simulationsmentioning

confidence: 99%

“…1 Radio frequency (RF) interference, in particular, can significantly reduce the performance of a GNSS receiver and, in certain cases, completely deny GNSS signal reception. 2 RF interference generally consists of an unwanted signal component at the receiver antenna. This component can overpower the weak GNSS signals reducing or preventing GNSS receiver operations.…”

Section: Introductionmentioning

confidence: 99%

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Robust transform domain signal processing for GNSS

Borio

Closas

2019

NAVIGATION

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Robust signal processing techniques are effective mitigation approaches that can enable Global Navigation Satellite System (GNSS) receiver operations even in the presence of strong interference. We extend robust GNSS signal processing to the case where interference admits a sparse representation in a transform domain (TD). More specifically, an orthonormal transformation is used to project the received GNSS samples into an appropriate TD. Robust signal processing strategies are then applied. The robust transform domain (RTD) cross‐ambiguity function (CAF) is obtained by applying a zero‐memory nonlinearity (ZMNL) to the TD samples, which, in turn, are used for the evaluation of the CAF. Different nonlinearities are analyzed and different implementations for the evaluation of the RTD CAF are proposed. The RTD approach is characterized from a theoretical point of view, with the usage of Monte Carlo simulations and through the processing of GNSS signals generated with a hardware simulator.

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Section: Validation Through Simulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust transform domain signal processing for GNSS

Borio

Closas

2019

NAVIGATION

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“…It is shown that, for the acquisition, the probability of detection and the probability of false alarm are vulnerable to the presence of interference, and that, for the tracking, the carrier-to-noise density ratio (C/N 0 ) decreases and the variance of the position solution increases. In addition to C/N 0 , other observables available at different stages of the receiver processing chain are affected by the jammer signal (Borio et al 2016). For example, the automatic gain control (AGC) level drops in response to increased power in the GNSS band, and the running delay lock loop (DLL) variance and the running phase lock loop (PLL) variance increase due to the rise in the noise level (Bhuiyan et al 2014a).…”

Section: Introductionmentioning

confidence: 99%

A new implementation of narrowband interference detection, characterization, and mitigation technique for a software-defined multi-GNSS receiver

et al. 2018

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Due to the very low power of satellite signals when reaching the earth's surface, global navigation satellite system receivers are vulnerable to various types of radio frequency interference, and, therefore, countermeasures are necessary. In the case of a narrowband interference (NBI), the adaptive notch filtering technique has been extensively investigated. However, the research on the topic has focused on the adaptation of the notch frequency, but not of the notch width. We present a fully adaptive solution to counter NBI. The technique is capable of detecting and characterizing any number of narrow interfered bands, and then optimizing the mitigation process based on such characterization, namely the estimates of both interference frequency and width. Its full adaptiveness makes it suitable to cope with the unpredictable and diverse nature of unintentional interfering events. In addition to a thorough performance evaluation of the proposed method, which shows its benefits in terms of signal quality improvement, an analysis of the impact of different NBI profiles on GPS L1 C/A and Galileo E1 is also conducted.

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“…Despite the recent advances in global navigation satellite system (GNSS) technology, jamming, blockage and severe multipath fading can still significantly impair the performance of receivers or completely deny GNSS positions and time services. Interference can impact the front end, acquisition, tracking and position stages of a receiver (Borio et al 2016). Even a low-power jamming signal can potentially jeopardize the functionality of receivers in a circular region around the jammer with a radius of several kilometers.…”

Section: Introductionmentioning

confidence: 99%