全球卫星导航系统中欺骗信号优化检测仿真

详细信息    查看全文 | 推荐本文 |

英文篇名：Simulation of Spoofing Signal Detection in GNSS 作者：申成良 ; 郭承军 英文作者：SHEN Cheng-liang;GUO Cheng-jun;Research Institute of Electronic Science & Technology,University of Electronic Science & Technology of China; 关键词：全球卫星导航系统 ; 欺骗信号优化检测 ; 最大似然估计 ; 广义似然比检验 ; 代价函数 英文关键词：GNSS;;Spoofing detection;;MLE;;GLRT;;Cost function 中文刊名：JSJZ 英文刊名：Computer Simulation 机构：电子科技大学电子科学技术研究院; 出版日期：2019-06-15 出版单位：计算机仿真 年：2019 期：v.36 语种：中文; 页：JSJZ201906022 页数：6 CN：06 ISSN：11-3724/TP 分类号：115-119+125

摘要

欺骗式干扰严重威胁着全球卫星导航系统(GNSS)民用接收机的安全,必须对接收机所接收到的信号进行欺骗信号优化检测。高级的欺骗式干扰能产生精细化的码相位和载波多普勒,致使传统的欺骗信号优化检测方法失效。针对上述问题,提出了一种基于欺骗信号重构的欺骗信号优化检测方法。方法在最大似然估计(MLE)定位技术基础上,通过最大化MLE的代价函数后进行欺骗信号重构,再从原始信号中减去重构的信号,最后通过检测残留信号的成分,进而检测出欺骗信号的存在。同时利用广义似然比检验(GLRT),给出了该方法的检测性能。仿真结果表明,上述方法能准确检测出欺骗信号,提高了接收机的抗欺骗式干扰性能。与已有的方法相比,提出的方法的检测性能更加优越。
        Spoofing attack is a serious threat to the safety of the global navigation satellite system(GNSS) civilian receiver. We must perform spoofing detection techniques to detect the spoofing signals received by the receiver. Advanced spoofing attack can produce fine code phase and carrier Doppler resulting in the failure of the traditional spoofing signal detection method. In order to solve the above problem, a spoofing detection method based on signal reconstruction was proposed. Under maximum likelihood estimation(MLE) based positioning, we firstly reconstructed the spoofing signals by maximizing the cost function of the MLE, and then subtracted the reconstructed signal from the original signal. Finally, through the detection of residual signal components, we judged the presence of spoofing signal. And using the generalized likelihood ratio test(GLRT), the detection performance of the proposed method was given. The simulation results show that the proposed method can detect the spoofing signal accurately and improve the receiver's anti-spoofing performance. Compared with the existing methods, the proposed method is more superior in detection performance.

引文

[1] H Wen,et al.Countermeasures for GPS signal spoofing[J].Ion Gnss,2005.
    [2] E G Manfredini,F Dovis,B Motella.Validation of a signal quality monitoring technique over a set of spoofed scenarios[C].Satellite Navigation Technologies and European Workshop on Gnss Signals and Signal Processing.IEEE,2014:1-7.
    [3] J C Juang.Analysis of global navigation satellite system position deviation under spoofing[J].Iet Radar Sonar Navigation,2009,3(1):1-7.
    [4] A J Jahromi,et al.GPS spoofer countermeasure effectiveness based on signal strength,noise power,and C/N 0,measurements[J].International Journal of Satellite Communications & Networking,2012,30(4):181–191.
    [5] 唐超,等.GNSS民用导航电文加密认证技术研究[J].计算机仿真,2015,32(9):86-90.
    [6] P Closas,C Fernandez-Prades,J A Fernandez-Rubio.Maximum Likelihood Estimation of Position in GNSS[J].IEEE Signal Processing Letters,2007,14(5):359-362.
    [7] B W Parkinson,et al.Global Positioning System:Theory and Applications,Volume II[M].American Institute of Aeronautics and Astronautics,1996.
    [8] S K Sengupta.Fundamentals of statistical signal processing:detection theory[M].false,1998:83-182.
    [9] E D Kaplan,C Hegarty.Understanding GPS:principles and applications[M].Artech House,2005.
    [10] A R Baziar,M Moazedi,M R Mosavi.Analysis of Single Frequency GPS Receiver Under Delay and Combining Spoofing Algorithm[J].Wireless Personal Communications,2015,83(3):1955-1970.
    [11] D Borio,D Akos.Noncoherent Integrations for GNSS Detection:Analysis and Comparisons[J].IEEE Transactions on Aerospace & Electronic Systems,2009,45(1):360-375.
    [12] THOMASA.SCHONHOFF,ARTHURA.GIORDANO.信号检测与估计:理论与应用[M].电子工业出版社,2012.
    [13] 谢钢.GPS 原理与接收机设计[M].北京:电子工业出版社,2009.
    [14] K Ali,E G Manfredini,F Dovis.Vestigial signal defense through signal quality monitoring techniques based on joint use of two metrics[C].Position,Location and Navigation Symposium-PLANS 2014,2014 IEEE/ION.IEEE,2014:1240-1247.