Volume 49 Issue 1
Jan.  2023
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CHEN J J,YUAN H,XU Y,et al. Joint attitude determination and spoofing detection method using three antennas[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(1):128-137 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0189
Citation: CHEN J J,YUAN H,XU Y,et al. Joint attitude determination and spoofing detection method using three antennas[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(1):128-137 (in Chinese) doi: 10.13700/j.bh.1001-5965.2021.0189

Joint attitude determination and spoofing detection method using three antennas

doi: 10.13700/j.bh.1001-5965.2021.0189
Funds:  The Youth Innovation Promotion Association CAS (E03314020D); The Scientific Instrument Developing Project of the Chinese Academy of Sciences (YJKYYQ20200069)
More Information
  • Corresponding author: E-mail:yuanhong@aircas.ac.cn
  • Received Date: 13 Apr 2021
  • Accepted Date: 23 Sep 2021
  • Available Online: 16 Jan 2023
  • Publish Date: 09 Oct 2021
  • The security of the global navigation satellite system (GNSS) has aroused widespread concern. The multiple-antennas method has become the most effective spoofing detection method due to its unique spatial characteristics. A joint attitude determination and spoofing detection method using three antennas is proposed, detecting spoofing signals and determining the attitude information. The baseline accuracy limits the traditional direct attitude determination method, so a length-constrained baseline vector estimation method is adopted to obtain high-precision attitude determination results. When attitude information is known, the carrier phase single-difference expected value can be obtained by the ephemeris, attitude transformation matrix, and the antennas’ geometric relationship. The sum of the squared error (SSE) is used to evaluate the deviation between the observed and expected value of carrier phase single-difference, and the spoofing signal binary detection is constructed. The results shows that this method can reduce the standard deviation of attitude determination by more than 76.1% when there is no spoofing signal, and achieve 100%. detection efficiency with a more than 77.3% reducation on standard deviation of attitude when spoofing signal involved.

     

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