Abstract: | The anti-spoofing techniques based on antenna array can discriminate spoofing from authentic satellite signals according to their directions of arrival, and then project the array signal vector into the orthogonal complement subspace to the spoofing subspace to mitigate spoofing interference. Under the condition that multiple-antenna spoofing source transmits different PRN signals from different directions, however, the spoofing mitigation algorithm based on orthogonal projection may cause serious attenuation for those authentic signals located in or close to the nulls in the antenna beam pattern. In this case, it is difficult to maintain the signal-to-noise ratio (SNR) of authentic satellite signals in the array output signal, which is not tolerable for some high precision applications. In order to solve this problem, we propose a non-orthogonal projection method based on antenna array for GNSS spoofing mitigation, in which the array weight vector is calculated based on maximum Signal to Interference plus Noise Ratio (SINR) criterion for each authentic satellite signal. The interference nulls can be adjusted to any depth according to the power of spoofing signals while maximizing the gain of the desired satellite signal. Simulation results demonstrate that the algorithm can effectively improve beamforming gain for authentic signals and recover the receiver's positioning precision while eliminating spoofing interference. |
Published in: |
Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018) September 24 - 28, 2018 Hyatt Regency Miami Miami, Florida |
Pages: | 3632 - 3642 |
Cite this article: | Zhang, Jiaqi, Cui, Xiaowei, Lu, Mingquan, Gong, Li, "A Novel Non-orthogonal Projection Method based on Antenna Array for GNSS Spoofing Mitigation," Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018), Miami, Florida, September 2018, pp. 3632-3642. https://doi.org/10.33012/2018.15916 |
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