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Omid Sharifi-Tehrani. Airborne GNSS-Receiver Threat Detection in No-Fading Environments[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(6): 613-620. doi: 10.15918/j.jbit1004-0579.2022.005
Citation: Omid Sharifi-Tehrani. Airborne GNSS-Receiver Threat Detection in No-Fading Environments[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2022, 31(6): 613-620.doi:10.15918/j.jbit1004-0579.2022.005
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Airborne GNSS-Receiver Threat Detection in No-Fading Environments

doi:10.15918/j.jbit1004-0579.2022.005

  • the Department of Electrical and Communication Engineering, Imam Hussein Comprehensive University, Tehran, Iran

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  • Author Bio:

    Omid Sharifi-Tehraniwas born in Isfahan in 1984. He received M.S. degree in 2010, in communication engineering, from Islamic Azad University, Isfahan, Iran. He received Ph.D. of electrical engineering from Imam Hussein Comprehensive University, Tehran, Iran, in 2021. His main research interests include statistical / spectral signal processing, detection / estimation theory, electronic warfare and random matrix theory

  • Corresponding author:omidsht@gmail.com
  • Received Date:2022-01-13
  • Rev Recd Date:2022-03-15
  • Accepted Date:2022-05-16
  • Publish Date:2022-12-25
    Abstract
  • Jamming and spoofing detection of global navigation satellite systems (GNSS) is of great importance. Civil and military aerial platforms use GNSS as main navigation systems and these systems are main target of threat attacks. In this paper a simple method based on different empirical probability density functions of successive received signal powers and goodness of fit technique is proposed for airborne platforms such as unmanned aerial vehicle (UAV), in no fading environment. The two different paths between UAV-satellite and UAV-threat, experience different empirical probability density functions which can be used to distinguish between authentic and threat signals. Simulation results including detection and false alarm probabilities show good performance of proposed method as well as low computational burden.
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