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    马晓东, 袁伟娜, 凌小峰. 一种基于机会参考源的分布式ADS-B无源定位防欺骗方法[J]. 华东理工大学学报(自然科学版), 2020, 46(1): 121-127. DOI: 10.14135/j.cnki.1006-3080.20181115001
    引用本文: 马晓东, 袁伟娜, 凌小峰. 一种基于机会参考源的分布式ADS-B无源定位防欺骗方法[J]. 华东理工大学学报(自然科学版), 2020, 46(1): 121-127. DOI: 10.14135/j.cnki.1006-3080.20181115001
    MA Xiaodong, YUAN Weina, LING Xiaofeng. Distributed ADS-B Passive Positioning Anti-Spoofing Method Based on Opportunity Reference Source[J]. Journal of East China University of Science and Technology, 2020, 46(1): 121-127. DOI: 10.14135/j.cnki.1006-3080.20181115001
    Citation: MA Xiaodong, YUAN Weina, LING Xiaofeng. Distributed ADS-B Passive Positioning Anti-Spoofing Method Based on Opportunity Reference Source[J]. Journal of East China University of Science and Technology, 2020, 46(1): 121-127. DOI: 10.14135/j.cnki.1006-3080.20181115001

    一种基于机会参考源的分布式ADS-B无源定位防欺骗方法

    Distributed ADS-B Passive Positioning Anti-Spoofing Method Based on Opportunity Reference Source

    • 摘要: 广播式自动相关监视(ADS-B)系统面临着日益严峻的人为恶意虚假欺骗问题,多基站时差定位校验法是识别和定位欺骗源的有效方法。针对现有的多基站时差定位校验法存在站间同步成本高、易受全球导航卫星系统(GNSS)区域干扰影响等问题,提出了一种基于机会参考源的分布式ADS-B无源定位防欺骗方法。该方法通过动态选取可信ADS-B目标作为机会参考源来实现多站同步,有效地克服了传统的多基站时差定位校验法站间同步成本高、难以适应GNSS局部干扰场景的问题。仿真实验结果表明,在大量ADS-B真实源和欺骗源共存的情况下,本文方法不仅能够准确识别出虚假ADS-B报文,而且可以通过优选ADS-B机会参考源实现精确的站间同步,进而实现对发出虚假报文的欺骗源的准确定位。

       

      Abstract: Automatic dependent surveillance-broadcast (ADS-B) are facing an increasingly serious malicious spoofing problem. Multi station passive time difference of arrival (TDOA) location ADS-B anti-spoofing method is an effective method for identifying and locating spoofing source. However, in the existing TDOA location methods, there also exist some shortcomings, e.g., high time synchronization cost between stations, vulnerable to global navigation satellite system (GNSS) regional interference, etc. Aiming at the above problems, this paper proposes a new distributed passive location ADS-B anti-spoofing method based on opportunity reference source. By dynamically selecting some trusted ADS-B targets as opportunity reference sources, this proposed method can realize multi station synchronization, and effectively overcome the bottleneck problem of some existing TDOA location methods. It is shown from the simulation results that by optimizing the ADS-B opportunistic reference source in the presence of a large number of ADS-B real sources and spoofing sources, the proposed method can not only accurately identify false ADS-B message, but also achieve accurate inter-station synchronization. Moreover, via the accurate inter-station synchronization, the spoofing source can be accurately located.

       

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