Detection of GNSS spoofing using the Fourier transform of correlator outputs and mitigation using an autoencoder neural network

References

• Aghadadashfam, M., Mosavi, M.R., and Rezaei, M.J., 2020. A new post-correlation anti-jamming technique for GPS receivers. GPS solutions, 24, 1–16.
   Web of Science ®Google Scholar
• Bamberg, T., Appel, M., and Meurer, M., 2018. Which GNSS tracking loop configuration is most robust against spoofing? In: Proceedings of the 31st international technical meeting of the satellite division of the Institute of Navigation (ION GNSS + 2018), September, Miami, FL, 3587–3595.
   Google Scholar
• Broumandan, A., et al., 2015. A network-based GNSS structural interference detection, classification and source localization. In: Proceedings of the 28th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS+ 2015), September, Tampa, FL, 3358–3369.
   Google Scholar
• Broumandan, A., et al., 2016a. An approach to discriminate GNSS spoofing from multipath fading. In: 8th ESA workshop on satellite navigation technologies and European workshop on GNSS signals and signal processing (NAVITEC), 14–16 December, Noordwijk, Netherlands, 1–10.
   Google Scholar
• Broumandan, A., et al., 2016b. Overview of spatial processing approaches for GNSS structural interference detection and mitigation. Proceedings of the IEEE, 104 (6), 1246–1257.
   Web of Science ®Google Scholar
• Cavaleri, A., et al., 2010. Detection of spoofed GPS signals at code and carrier tracking level. In: 2010 5th ESA workshop on satellite navigation technologies and European workshop on GNSS signals and signal processing, 8–10 December, Noordwijk, Netherlands, 1–6.
   Google Scholar
• Chen, M., et al., 2017. Deep feature learning for medical image analysis with convolutional autoencoder neural network. IEEE transactions on big data, 7 (4), 750–758.
   Google Scholar
• Cho, S.L., et al., 2008. Design of a TOA-based anti-spoofing method for GPS civil signal. In: Proceedings of the ION GNSS PNT Symposium, September, Savannah, GA, USA.
   Google Scholar
• Daneshmand, S., et al., 2014. A GNSS structural interference mitigation technique using antenna array processing. In: 2014 IEEE 8th sensor array and multichannel signal processing workshop (SAM), June, Aeoruna, Spain, 109–112.
   Google Scholar
• David, O.E. and Greental, I., 2014. Genetic algorithms for evolving deep neural networks. In: Proceedings of the 2014 conference companion on genetic and evolutionary computation companion, GECCO Comp ’14. New York: ACM, 1451–1452.
   Google Scholar
• Farhad, M.A., Mosavi, M.R., and Abedi, A.A., 2021. Fully adaptive smart vector tracking of weak GPS signals. Arabian journal for science and engineering, 46, 1383–1393.
   Web of Science ®Google Scholar
• Gross, J.N., Kilic, C., and Humphreys, T.E., 2019. Maximum-likelihood power-distortion monitoring for GNSS-signal authentication. IEEE transactions on aerospace and electronic systems, 55 (1), 469–475.
   Web of Science ®Google Scholar
• Guo, Y., Miao, L., and Zhang, X., 2018. Spoofing detection and mitigation in a multi-correlator GPS receiver based on the maximum likelihood principle. Sensors, 19, 37.
   PubMed Web of Science ®Google Scholar
• Humphreys, T.E., et al., 2008. Assessing the spoofing threat: Development of a portable GPS civilian spoofer. In: Proceedings of the 21st international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2008), September, Savannah, GA, 2314–2325.
   Google Scholar
• Humphreys, T.E., et al., 2012. The Texas spoofing test battery: toward a standard for evaluating GPS signal authentication techniques. In: Radio navigation laboratory conference proceedings, Washville, TN, USA.
   Google Scholar
• Humphreys, T., 2016. TEXBAT data sets 7 and 8. The University of Texas.
   Google Scholar
• Humphreys, T.E., Bhatti, J.A., and Ledvina, B.M., 2010. The GPS assimilator: a method for upgrading existing GPS user equipment to improve accuracy, robustness, and resistance to spoofing. In: Proceedings of the 23rd international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2010), September, Portland, OR, 1942–1952.
   Google Scholar
• Jafarnia Jahromi, A., et al., 2012. GPS spoofer countermeasure effectiveness based on signal strength, noise power, and C/N0 measurements. International journal of satellite communications and networking, 30 (4), 181–191.
   Web of Science ®Google Scholar
• Kang, C.H., Kim, S.Y., and Park, C.G., 2015. Global navigation satellite system interference tracking and mitigation based on an adaptive fading Kalman filter. IET radar, sonar & navigation, 9, 1030–1039.
   Web of Science ®Google Scholar
• Kerns, A.J., et al., 2014. Unmanned aircraft capture and control via GPS spoofing. Journal of field robotics, 31, 617–636.
   Web of Science ®Google Scholar
• Khan, A.M. and Ahmad, A., 2022. Global navigation satellite systems spoofing detection through measured autocorrelation function shape distortion. International journal of satellite communications and networking, 40, 148–156.
   Web of Science ®Google Scholar
• Liu, Y., et al., 2019. Analysis of Kalman filter innovation-based GNSS spoofing detection method for INS/GNSS integrated navigation system. IEEE sensors journal, 19, 5167–5178.
   Web of Science ®Google Scholar
• Lo, S. and Enge, P., 2010. Authenticating aviation augmentation system broadcasts. In: Proceedings of IEEE/ION PLANS 2010, May, Indian Wells, CA, 708–717.
   Google Scholar
• Mosavi, M.R., et al., 2015. Jamming mitigation in global positioning system receivers using wavelet packet coefficients thresholding. IET signal processing, 9 (5), 457–464.
   Web of Science ®Google Scholar
• Mosavi, M.R., Zebarjad, R., and Moazedi, M., 2018. Novel anti-spoofing methods based on discrete wavelet transform in the acquisition and tracking stages of civil GPS receiver. International journal of wireless information networks, 25 (4), 449–460.
   Web of Science ®Google Scholar
• Mubarak, O.M. and Dempster, A.G., 2007. Carrier phase analysis to mitigate multipath effect. In: International Global Navigation Satellite Systems Society (IGNSS) symposium, 4–6 December, Sydney, Australia.
   Google Scholar
• Mubarak, O.M. and Dempster, A.G., 2010. Analysis of early late phase in single-and dual-frequency GPS receivers for multipath detection. GPS solutions, 14 (4), 381–388.
   Web of Science ®Google Scholar
• Orouji, N. and Mosavi, M.R., 2021. A multi-layer perceptron neural network to mitigate the interference of time synchronization attacks in stationary GPS receivers. GPS solutions, 25 (3), 1–15.
   Web of Science ®Google Scholar
• Phelts, R.E., 2001. Multicorrelator techniques for robust mitigation of threats to GPS signal quality. Doctoral dissertation, Stanford University.
   Google Scholar
• Picois, A.V. and Samama, N., 2014. Near-far interference mitigation for pseudolites using double transmission. IEEE transactions on aerospace and electronic systems, 50 (4), 2929–2941.
   Web of Science ®Google Scholar
• Pini, M., et al., 2011. Signal quality monitoring applied to spoofing detection. In: Proceedings of the 24th international technical meeting of the satellite division of The Institute of Navigation (ION GNSS 2011), September, Portland, OR, 1888–1896.
   Google Scholar
• Pirsiavash, A., Broumandan, A., and Lachapelle, G., 2016. Two-dimensional signal quality monitoring for spoofing detection. In: Proceedings of the ESA/ESTEC NAVITEC 2016 conference, December, Noordwijk, Netherlands, 14–16.
   Google Scholar
• Psiaki, M.L., Powell, S.P., and O'Hanlon, B.W., 2013. GNSS spoofing detection using high-frequency antenna motion and carrier-phase data. In: Proceedings of the 26th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS+ 2013), 16–20 September, Nashville, TN, 2949–2991.
   Google Scholar
• Rezaei, M.J., Abedi, M., and Mosavi, M.R., 2016. New GPS anti-jamming system based on multiple short-time Fourier transform. IET radar, sonar & navigation, 10 (4), 807–815.
   Web of Science ®Google Scholar
• Rothmaier, F., et al., 2021. GNSS spoofing detection through spatial processing. Navigation, 68 (2), 243–258.
   Web of Science ®Google Scholar
• Rumelhart, D.E., Hinton, G.E., and Williams, R.J., 1986. Learning internal representations by error propagation. Parallel distributed processing, 1, 318–362.
   Google Scholar
• Shepard, D.P. and Humphreys, T.E., 2011. Characterization of receiver response to a spoofing attacks. In: Proceedings of the 24th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2011), Portlan, OR, USA, 2608–2618.
   Google Scholar
• Steingass, A. and Lehner, A., 2004. Measuring the navigation multipath channel … a statistical analysis. In: Proceedings of the 17th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2004), September, Long Beach, CA, 1157–1164.
   Google Scholar
• Sun, C., et al., 2018. Moving variance-based signal quality monitoring method for spoofing detection. GPS solutions, 22 (3), 1–13.
   Web of Science ®Google Scholar
• Sun, C., et al., 2021. Robust spoofing detection for GNSS instrumentation using Q-channel signal quality monitoring metric. IEEE transactions on instrumentation and measurement, 70, 1–15.
   PubMed Web of Science ®Google Scholar
• Swaszek, P.F. and Hartnett, R.J., 2014. A multiple COTS receiver GNSS spoof detector–extensions. In: Proceedings of the 2014 international technical meeting of the Institute of Navigation, January, 316–326.
   Google Scholar
• Warner, J.S. and Johnston, R.G., 2003. GPS spoofing countermeasures. Homeland security journal, 25 (2), 19–27.
   Google Scholar
• Wen, H., et al., 2005. Countermeasures for GPS signal spoofing. In: Proceedings of the 18th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2005), September, Long Beach, CA, 1285–1290.
   Google Scholar
• Wesson, K.D., et al., 2011. An evaluation of the vestigial signal defense for civil GPS anti-spoofing. In: Proceedings of the 24th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS 2011), September, Portland, OR, 2646–2656.
   Google Scholar
• Wesson, K.D., et al., 2017. GNSS signal authentication via power and distortion monitoring. IEEE transactions on aerospace and electronic systems, 54 (2), 739–754.
   Web of Science ®Google Scholar
• Zadeh, L.A., 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems, 1 (1), 3–28.
   Google Scholar