Revisiting VOR transmitters: MIMO passive radar using legacy infrastructure

Azarian, Sylvain; Lesturgie, Marc

doi:10.1109/radar.2014.7060414

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…In the frame of studies about passive radar conducted at ONERA, we proposed to use some sources of opportunity like VOR (VHF Omnidirectional Range) beacons for the detection of air targets. VOR transmitters have already been used as donor of signal for different kinds of passive radar for the detection of airliners [1].…”

Section: Introductionmentioning

confidence: 99%

Using VHF Navigation Aid to Estimate Radar Cross Section of Airliners by Inverting the Radar Equation

Saillant

Dorey

Azarian

2018

2018 International Conference on Radar (RADAR)

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The VHF Omnidirectional Range (VOR) navigation aid system can be used as donor of signal for passive radar experiments. An experiment was set up close to a VOR beacon to detect airliners and to analyze their radar cross section in function of their attitude. This paper presents the configuration of the trials, the adapted signal processing and the detection results obtained for one of the detected targets. The radar cross section (RCS) was estimated from the computation of power budget in radar equation. An analysis of the evolution of the RCS is given in function of the attitude of this detected target in azimuth and elevation. Mean values of RCS for many models of airliners detected during the trial campaign and deduced by the same approach are then presented.

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Section: Introductionmentioning

confidence: 99%

Using VHF Navigation Aid to Estimate Radar Cross Section of Airliners by Inverting the Radar Equation

Saillant

Dorey

Azarian

2018

2018 International Conference on Radar (RADAR)

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“…The increasing number of radar opportunity illuminators, for example, radio transmitters, digital audio/video broadcast transmitters, and mobilephone base stations, can be used as natural sources of radio waves in passive radar systems. Notably, broadcast commercial transmitters of FM radio (88-108 MHz) [1,2] and VHF omnidirectional range (VOR, 108-118 MHz) [3][4][5][6] prove attractive due to their high power transmission and wide coverage.…”

Section: Introductionmentioning

confidence: 99%

Deep learning for aircraft classification from VHF radar signatures

Fix

Ren

Lopes

et al. 2021

IET Radar Sonar & Navi

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Radio sources in the Very High Frequency (VHF) band can be seized as opportunity donors in a passive radar configuration such as FM radio stations and VHF omnidirectional range (VOR). A full-wave simulation of three size classes of aeroplanes shows that their bistatic radar cross-section (RCS) are statistically comparable, albeit perform differently in time while the plane is flying. This difference can be exploited to recognize the size of the aeroplanes with respect to these classes. Measurements confirm this possible differentiation between the aeroplanes within the same class. Encouraging initial results were obtained using convolutional or recurrent neural networks to classify aircraft classes, combining simulated bistatic RCS results and real trajectories (collected from automatic dependent surveillance-broadcastdata).This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…To facilitate the flight navigation, radio beacons, as VORs (VHF Omnidirectional Range) since 1940's, have been installed around the world. The main advantage of VORs is that they transmit an omnidirectional signal, horizontal polarization, in the VHF band (108 -118 MHz) [1] [2] making it ideal, as opportunity sources, for passive radar applications [3] [4]. In this band the wavelength is about 2.6 m which means that the size of commercial airplanes is on the order of tens of wavelengths.…”

Section: Introductionmentioning

confidence: 99%

Analysis of airplane signatures using passive VHF radar for recognition perspectives

Sáenz¹,

Ren²,

Letertre³

et al. 2019

2019 International Radar Conference (RADAR)

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Radio beacons, at around 115 MHz (VHF, VOR), are used as opportunity donors in a passive radar configuration. Full-wave simulation of three categories (according to size) of aircrafts shows that their bistatic RCS are statistically comparable without any additional information but perform differently in time (while flying). This discrepancy can be exploited to recognize the aircrafts among the categories. Measurements confirm these ideas and indicate that it may be possible to differentiate the aircrafts among the same category. Encouraging initial results were obtained using Convolutional Neural Networks to classify airplane categories combining simulated bistatic RCS results and real trajectories (collected from ADS-B data).

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Revisiting VOR transmitters: MIMO passive radar using legacy infrastructure

Cited by 3 publications

References 3 publications

Using VHF Navigation Aid to Estimate Radar Cross Section of Airliners by Inverting the Radar Equation

Using VHF Navigation Aid to Estimate Radar Cross Section of Airliners by Inverting the Radar Equation

Deep learning for aircraft classification from VHF radar signatures

Analysis of airplane signatures using passive VHF radar for recognition perspectives

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