Experimental assessment of Distance Measuring Equipment and Tactical Air Navigation interference on GPS L5 and Galileo E5a frequency bands

Musumeci, Luciano; Samson, Jaron; Dovis, Fabio

doi:10.1109/navitec.2012.6423064

Cited by 17 publications

(14 citation statements)

References 4 publications

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“…Due to the Gaussian pulse shape and also due to the carrier variation over the pulse duration, the pulse blanking does not suppress correctly the entire DME/TACAN pulse, leading great portions of residual interference going through the correlators. In [9] the authors provide an extensive study on the impact of pulse blanking on GNSS receiver performance in presence of strong DME/TACAN environment. In such a scenario, the pulse blanking, triggered by the composite DME/TACAN interference, blanks great portions of the received signal leading to a high degradation on the GNSS signal quality and in some cases causing the receiver loosing the lock.…”

Section: • { } Is the Ensemble Of Pulse Pairs Arrival Timesmentioning

confidence: 99%

“…Additional details on the convolutional encoder properties and F/NAV message structure can be found in [17]. Concerning the pulsed interference scenario, the DME/TACAN interference at the "hotspot" location, described in [9], have been simulated. In Figure 14, the spectrum of 10 ms of Galileo E5a signal combined with DME/TACAN interference is shown.…”

Section: A Pulse Blanking Non Linearitiesmentioning

confidence: 99%

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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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Section: • { } Is the Ensemble Of Pulse Pairs Arrival Timesmentioning

confidence: 99%

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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“…Since the transmission power of the satellites is in the order of 50 W the received power drops down to some femtowatts. This increases the risk for operational outages or performance degradation [7]. Systems sharing the same frequency band [e.g., aviation Distance Measurement Equipment (DME) for Galileo E5a] or systems operating in different bands but emitting harmonics in the GNSS bands [user terminals for mobile satellite systems (MSS)] are examples for unintentional interferers.…”

Section: Introductionmentioning

confidence: 99%

“…For perfect (i.e., noiseless) measurements 7. All satellites in view are above the receiver, i.e., their z-coordinate w.r.t.…”

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confidence: 99%

Experimental validation of GNSS repeater detection based on antenna arrays for maritime applications

et al. 2018

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In this work, we present an antenna array-based algorithm to detect GNSS repeater and/or spoofing attacks with an experimental validation. With an array receiver capable of measuring the impinging ranging signals direction of arrival in terms of azimuth and elevation, it is possible to estimate the antenna platforms attitude. The fact that this information is computed (w.r.t. a reference frame) during the position calculation is used. We propose an algorithm aiming to find the relation between both representations. This mapping defines the receiver's attitude in terms of pitch, roll and yaw angle. The residual of this mapping is used to construct a quality metric for the mapping. If a threshold is undershot, spoofing/repeating is indicated. The performance is demonstrated using software simulations. To show the capabilities under realistic conditions, a test platform is described. It consists of a real-time array receiver and a sampling device enabling post-processing. A maritime measurement campaign including two vessels-one acting as receiver and the other acting as transmitter-is portrayed. Finally, the real-time and post-processing performance of the algorithm is evaluated.

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“…Grabowski and Hegarty came to the conclusion that the ‘(DME) Power level is important’ but the DME power level is only a theoretical estimation at the moment. EUROCAE, Raimondi et al, Musumeci et al, and Lo et al underlined the importance of future measurements.…”

Section: Introductionmentioning

confidence: 99%

Modeling Distance Measurement Equipment (DME) Signals Interfering an Airborne GNSS Receiver

2018

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This publication describes a model to generate distance measurement equipment (DME) signals as an interference source to airborne Global Satellite Navigation Systems (GNSS).Satellite navigation systems, use the lower L-band (Galileo: E5, 1164-1215 GPS: L5 1164-1189 for navigation services and are sharing the same frequency band with DME. Any GNSS receiver operating in the mentioned bands will have to deal with them as interference. Prior to this work, we only found models based on propagation estimation. No model existed which is based on real world measurements of DME signals. Thus, we carried out a flight measurement campaign at the European DME hotspot near Frankfurt (Main), Germany. From the measurement data, we have developed a measurement-based model which is much more accurate than the existing models since it accounts for the propagation, the DME transmission, and the GNSS receiver antenna effects. We provide this model to the community to allow a more realistic forecast of the DME-GNSS interference situation.

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Experimental assessment of Distance Measuring Equipment and Tactical Air Navigation interference on GPS L5 and Galileo E5a frequency bands

Cited by 17 publications

References 4 publications

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

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

Experimental validation of GNSS repeater detection based on antenna arrays for maritime applications

Modeling Distance Measurement Equipment (DME) Signals Interfering an Airborne GNSS Receiver

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