• DocumentCode
    174697
  • Title

    A method for GNSS spoofing detection based on sequential probability ratio test

  • Author

    Dingbo Yuan ; Hong Li ; Mingquan Lu

  • Author_Institution
    Tsinghua Univ., Beijing, China
  • fYear
    2014
  • fDate
    5-8 May 2014
  • Firstpage
    351
  • Lastpage
    358
  • Abstract
    Nowadays, an increasing number of applications and services are based on the Global Navigation Satellite System (GNSS). GNSS signals are vulnerable to interference, jamming and spoofing. Among them, spoofing attack is extremely deceitful and destructive, because it can result in misleading time and position error. Hence, reliable spoofing detection is of great importance for many critical applications and services. Since PN-code acquisition is the first step of baseband signal processing, successful spoofing detection at this stage is timely, and alarms can be raised as early as possible. Therefore, a new method for spoofing detection at the acquisition stage based on the sequential probability ratio test is proposed in this paper. And performance analysis and evaluation of the proposed method is presented as well. At last, simulation results are provided to demonstrate the effectiveness of the theoretical results.
  • Keywords
    jamming; probability; pseudonoise codes; radiofrequency interference; satellite navigation; signal detection; statistical testing; GNSS signals; GNSS spoofing detection; PN-code acquisition; acquisition stage; baseband signal processing; global navigation satellite system; interference; jamming; performance analysis; performance evaluation; position error; sequential probability ratio test; spoofing attack; time error; Correlation; Global Positioning System; Receivers; Rician channels; Signal to noise ratio; Testing; multiple hypotheses; sequential probability ratio test; spoofing detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position, Location and Navigation Symposium - PLANS 2014, 2014 IEEE/ION
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    978-1-4799-3319-8
  • Type

    conf

  • DOI
    10.1109/PLANS.2014.6851392
  • Filename
    6851392