Performance assessment of pulse blanking mitigation in presence of multiple Distance Measuring Equipment/Tactical Air Navigation interference on Global Navigation Satellite Systems signals

Musumeci, Luciano; Samson, Jaron; Dovis, Fabio

doi:10.1049/iet-rsn.2013.0198

Cited by 22 publications

(11 citation statements)

References 5 publications

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“…In general, one can distinguish three main groups of solutions that can be used for mitigation of GNSS jamming. Within the methods of the first group, the impact of jamming is mitigated inside the GNSS receiver by techniques such as adaptive notch filtering, pulse blanking, or adaptive beamforming using a multi-antenna GNSS receiver [ 11 , 12 , 13 ]. Within the second group, alternative terrestrial radio navigation systems are employed to enable a position determination independently from GNSS.…”

Section: Introductionmentioning

confidence: 99%

Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions

Ziebold

Medina

Romanovas³

et al. 2018

Sensors

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Currently Global Navigation Satellite Systems (GNSSs) are the primary source for the determination of absolute position, navigation, and time (PNT) for merchant vessel navigation. Nevertheless, the performance of GNSSs can strongly degrade due to space weather events, jamming, and spoofing. Especially the increasing availability and adoption of low cost jammers lead to the question of how a continuous provision of PNT data can be realized in the vicinity of these devices. In general, three possible solutions for that challenge can be seen: (i) a jamming-resistant GNSS receiver; (ii) the usage of a terrestrial backup system; or (iii) the integration of GNSS with other onboard navigation sensors such as a speed log, a gyrocompass, and inertial sensors (inertial measurement unit—IMU). The present paper focuses on the third option by augmenting a classical IMU/GNSS sensor fusion scheme with a Doppler velocity log. Although the benefits of integrated IMU/GNSS navigation system have been already demonstrated for marine applications, a performance evaluation of such a multi-sensor system under real jamming conditions on a vessel seems to be still missing. The paper evaluates both loosely and tightly coupled fusion strategies implemented using an unscented Kalman filter (UKF). The performance of the proposed scheme is evaluated using the civilian maritime jamming testbed in the Baltic Sea.

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Section: Introductionmentioning

confidence: 99%

Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions

Ziebold

Medina

Romanovas³

et al. 2018

Sensors

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“…Figure 10 provides a comparison between the effect of an ideal pulse blanking and the effect of a non-ideal blanking performed on the DME/TACAN double pulses. An assessment of non-ideal pulse blanking behaviour on GNSS receiver acquisition performance is also proposed in [16].…”

Section: A Pulse Blanking Non Linearitiesmentioning

confidence: 99%

Effect of pulse blanking on navigation data demodulation performance in GNSS system

Musumeci

Dovis

2014

2014 IEEE/ION Position, Location and Navigation Symposium - PLANS 2014

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The paper addresses the impact of the most common pulsed interference countermeasure, the pulse blanking, on the data demodulation stages of the GNSS receiver. Few works in the literature deal with this aspect, taking into account not only the / 0 drop but the impact of the coding strategy and the structure of the navigation message. In several works the structure of the navigation message is provided as a fact. The following paper investigates how some of the parameters (e.g. data rate) in Direct Sequence Spread Spectrum (DS-SS) systems could be optimized together with the pulse blanking parameters in order to improve the robustness to the interference in future evolutions of GNSS systems. After a brief general review of the DS-SS modulation, this paper will provide a description of the impact of the pulse blanking mitigation algorithm on the data demodulation performance for both un-coded and coded DS/BPSK systems. In particular, theoretical derivation of the expected Bit Error Rate (BER) will be provided. Theoretical derivation is supported by a set of fully software simulations, thanks to the use of a fully and flexible DS-BPSK system simulator developed during research activity.

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“…Many precorrelation approaches have been proposed so far in the literature based on the techniques in the time domain [6], [7], the frequency domain [8], the time-frequency domain [9], and the transformed domain [10], [11]. The adaptive filter techniques can be implemented for interference suppression [12], among which the infinite impulse response (IIR)-based adaptive notch filter (ANF) is particularly appealing due to its low complexity and low computational load [13], [14].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver

Qin

Gamba

Falletti

et al. 2020

IEEE Trans. Aerosp. Electron. Syst.

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With the fast growing diffusion of real-time high-accuracy applications based on the global navigation satellite system (GNSS), the robustness of GNSS receiver performance has become a compelling requirement. Disruptive effects can be induced to signal processing stages of GNSS receivers due to the disturbances from radio frequency interference (RFI), even leading to a complete outage of the positioning and timing service. A typical RFI threat to GNSS signals is represented by portable jammers, which transmit swept-frequency (chirp) signals in order to span the overall GNSS bandwidth. The implementation in the receivers of adaptive notch filters (ANFs) for chirp cancellation has been extensively investigated and proved to be an efficient countermeasure. However, the performance of the ANF is strongly dependent on its configuration setup. Inappropriate parameter settings of the ANF for interference removal may induce severe distortion to the correlation process. In addition, an effective mitigation will still introduce a vestigial signal distortion contributed

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Performance assessment of pulse blanking mitigation in presence of multiple Distance Measuring Equipment/Tactical Air Navigation interference on Global Navigation Satellite Systems signals

Cited by 22 publications

References 5 publications

Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions

Performance Characterization of GNSS/IMU/DVL Integration under Real Maritime Jamming Conditions

Effect of pulse blanking on navigation data demodulation performance in GNSS system

An Assessment of Impact of Adaptive Notch Filters for Interference Removal on the Signal Processing Stages of a GNSS Receiver

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