首页    期刊浏览 2024年07月01日 星期一
登录注册

文章基本信息

  • 标题:Statistical test for GNSS spoofing attack detection by using multiple receivers on a rigid body
  • 本地全文:下载
  • 作者:Ashkan Kalantari ; Erik G. Larsson
  • 期刊名称:EURASIP Journal on Advances in Signal Processing
  • 印刷版ISSN:1687-6172
  • 电子版ISSN:1687-6180
  • 出版年度:2020
  • 卷号:2020
  • 期号:1
  • 页码:1-16
  • DOI:10.1186/s13634-020-0663-z
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Global navigation satellite systems (GNSS) are being the target of various jamming, spoofing, and meaconing attacks. This paper proposes a new statistical test for the presence of multiple spoofers based on range measurements observed by a plurality of receivers located on a rigid body platform. The relative positions of the receivers are known, but the location and orientation of the platform are unknown. The test is based on the generalized likelihood ratio test (GLRT) paradigm and essentially performs a consistency check between the set of observed range measurements and known information about the satellite topology and the geometry of the receiver constellation. Optimal spoofing locations and optimal artificial time delays (as induced by the spoofers) are also determined.Exact evaluation of the GLRT requires the maximum-likelihood estimates of all parameters, which proves difficult. Instead, approximations based on iterative algorithms and the squared-range least squares algorithm are derived. The accuracy of these approximations is benchmarked against Cramér-Rao lower bounds.Numerical examples demonstrate the effectiveness of the proposed algorithm and show that increasing the number of GNSS receivers makes the attack easier to detect. We also show that using multiple GNSS receivers limits the availability of optimal attack positions.
  • 关键词:Global navigation satellite systems (GNSS) ; Spoofing ; Generalized likelihood ratio test (GLRT) ;
国家哲学社会科学文献中心版权所有