46
views
0
recommends
+1 Recommend
1 collections
    1
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Efficient Signal Separation Method Based on Antenna Arrays for GNSS Meaconing

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          As an effective deceptive interference technique for military navigation signals, meaconing can be divided into two main types: those that replay directly and those that replay after signal separation. The latter can add different delays to each satellite signal and mislead the victim receiver with respect to any designated position, thus has better controllability and concealment capability. A previous study showed there to be two main spatial processing techniques for separating military signals, whereby either multiple large-caliber antennas or antenna arrays are used to form multiple beams that align with all visible satellites. To ensure sufficient spatial resolution, the main lobe width of the antenna or beam must be sufficiently narrow, which requires the use of a large antenna aperture or a large number of array elements. In this paper, we propose a convenient and effective signal separation method, which is based on an antenna array with fewer elements. While the beam of the array is pointing to a specified satellite, the other satellite signals are regarded as interference and their power is suppressed to a level below the receiver’s sensitivity. With this method, the number of array elements depends only on the number of visible satellites, thus greatly reducing the hardware cost and required processing capacity.

          Related collections

          Author and article information

          Journal
          TST
          Tsinghua Science and Technology
          Tsinghua University Press (Xueyan Building, Tsinghua University, Beijing 100084, China )
          1007-0214
          05 April 2019
          : 24
          : 2
          : 216-225
          Affiliations
          ∙ Jiaqi Zhang, Xiaowei Cui, Hailong Xu, Sihao Zhao, and Mingquan Lu are with the Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. E-mail: zhang-jq15@ 123456mails.tsinghua.edu.cn ; xuhl07@ 123456gmail.com ; zsh_thu@ 123456mail.tsinghua.edu.cn ; lumq@ 123456mail.tsinghua.edu.cn .
          Author notes
          * To whom correspondence should be addressed. E-mail: cxw2005@ 123456tsinghua.edu.cn .

          Jiaqi Zhang is a PhD candidate in the Department of Electronic Engineering at Tsinghua University. She received the BE degree from Tsinghua University in 2015. Her current research focuses on GNSS meaconing techniques, spoofing detection techniques, and array signal processing.

          Xiaowei Cui is an associate professor in the Department of Electronic Engineering at Tsinghua University. He received the BE and PhD degrees from Tsinghua University in 2000 and 2005, respectively. His research interests include statistical signal processing for wireless communication and GNSS receiver design.

          Hailong Xu is a PhD candidate in the Department of Electronic Engineering at Tsinghua University. He received the BE degree from Tsinghua University in 2011. His current research focuses on GNSS anti-jamming techniques, adaptive array processing, and GPU computing.

          Sihao Zhao is a lecturer at the Department of Electronic Engineering, Tsinghua University. He received the BS and PhD degrees from Tsinghua University in 2005 and 2011, respectively. His research interests include GNSS signal processing algorithms, high-precision positioning techniques, indoor navigation systems as well as telecommunication systems design and verification.

          Mingquan Lu is a professor in the Department of Electronic Engineering at Tsinghua University. He received the ME and PhD degrees from University of Electronic Science and Technology, China. His research interests include wireless network, satellite communication and navigation, and signal processing.

          Article
          1007-0214-24-2-216
          10.26599/TST.2018.9010125

          Comments

          Comment on this article