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Study of the GNSS Jamming in Real Environment

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
GNSS systems are susceptible to radio interference despite then operating in a spread spectrum. The commerce jammers power up to 2 watts that can block the receiver function at a distance of up to 15 kilometers in free space. Two original methods for GNSS receiver testing were developed. The first method is based on the usage of a GNSS simulator for generation of the satellite signals and a vector signal RF generator for generating different types of interference signals. The second software radio method is based on a software GNSS simulator and a signal processing in Matlab. The receivers were tested for narrowband CW interference, FM modulated signal and chirp jamming signals, and scenarios. The signal to noise ratio usually drops down to 27 dBc-Hz while the jamming to signal ratio is different for different types of interference. The chirp signal is very effective. The jammer signal is well propagated in free space while in the real mobile urban and suburban environment it is usually strongly attenuated.
Słowa kluczowe
Rocznik
Strony
65--70
Opis fizyczny
Bibliogr. 21 poz., tab., wykr., rys., fot.
Twórcy
  • Department of Radio Engineering, Faculty of Electrical Engineering: CTU, Prague, Czech Republic
  • Department of Radio Engineering, Faculty of Electrical Engineering: CTU, Prague, Czech Republic
  • Department of Radio Engineering, Faculty of Electrical Engineering: CTU, Prague, Czech Republic
Bibliografia
  • [1] S. Pullen and G. X. Gao, GNSS jamming in the name of privacy: Potential threat to GPS aviation, Inside GNSS, Mar./Apr. 2012.
  • [2] GPS jammingOut of sight, Economist, Jul. 27 2013. [Online]. Available: http://www.economist.com/printedition/ 2013-07-27
  • [3] A Grant, P. Williams, N. Ward, S. Basker, GPS Jamming and the Impact on Maritime Navigation, Journal of Navigation, April 2009.
  • [4] G. X. Gao, AU - M. Sgammini, AU - M. Lu, AU - N. Kubo, Protecting GNSS Receivers From Jamming and Interference, Proceedings of the IEEE, pp. 1327 - 1338, 2016.
  • [5] D. Borio, Swept GNSS jamming mitigation through pulse blanking, ENC pp. 1 8, 2016.
  • [6] Y. Hu, S. Bian, B. Li, L. Zhou, A Novel Array-Based Spoofing and Jamming Suppression Method for GNSS Receiver, IEEE Sensors Journal, Vol. 18, No. 7, April 1, 2018.
  • [7] R. H. Mitch, R. C. Dougherty, M. L. Psiaki, S. P. Powell, and B. W. OHanlon, Signal Characteristics of Civil GPS Jammers, ION GNSS, pp 1907 1919, 2011.
  • [8] S. Fang, Y. S. Yang, The Impact of Weather Condition on Radio-Based Distance Estimation: A Case Study in GSM Networks With Mobile Measurements, IEEE Trans. on Veh. Tech, Vol. 65, No. 8, 2016.
  • [9] M. L. Psiaki, T. E. Humphreys, GNSS Spoofing and Detection Proceedings of the IEEE, pp. 1327 - 1258, 1270.
  • [10] G. Arul Elango, G.F. Sudha, Bastin Francis, Weak signal acquisition enhancement in software GPS receivers Pre-filtering combined postcorrelationdetectionapproach,AppliedComputingandInformatics,Vol. 13, Iss. 1, pp 66-78, 2017.
  • [11] Ryan, H, et al.,Know Your Enemy: Signal Characteristics of Civil GPS Jammers, GPS world, no. 1, p. 8, 2012.
  • [12] T. K. Sarkar, Z. Ji, K. Kim, A. Medouri, M. Salazar-Palma, A survey of various propagation models for mobile communication, IEEE Ant. and Propag. Mag. June 2003.
  • [13] RF Range Calculator,https://www.silabs.com/community/wireless/ proprietary/knowledge-base.entry.html/2017/05/02/rf range calculator-SYIA.
  • [14] T.S.Rappaport,WirelessCommunications:Principles&Practice,Upper Saddle River, NJ, Prentice Hall PTR, 1996.
  • [15] M. Hata, Empirical formula for propagation loss in land mobile radio services, IEEE Trans. Veh. Technol., vol. VT-29, pp. 317325, Aug. 1980.
  • [16] J.Walfisch and H.L. Bertoni, A Theoretical model of UHF propagation in urban environments, IEEE Trans. Antennas Propagat., vol.36, 1988, pp.1788-1796
  • [17] M. D’Souza, B. Schoots, M. Ros, Indoor position tracking using receivedsignalstrength-basedfingerprintcontextawarepartitioning,IET Radar Sonar Navig., Vol. 10 Iss. 8, pp. 1347-1355, 2016.
  • [18] A. Bose, Ch. Foh, A Practical Path Loss Model For Indoor WiFi Positioning Enhancement, ICICS 2007.
  • [19] J. He, E. P. Li, S. Zhou, K, Liao, Experimental Characterization of Radio Channel in Ruins Environment, IEEE Ant. end Wireless Prop. Letters, VOL. 15, 2016
  • [20] I. Joo, C. Sin. GNSS Jamming Propagation Prediction Simulator Based on ITU-R P.1546 Model, ICCAS, pp. 1002 1006, 2016.
  • [21] E. D. Kaplan, Understanding GPS: principles and applications, 1st ed. Boston: Artech House, c1996.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-815e4f95-f5d7-48a6-823d-2b382156f7b5
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