A Two-Stage Interference Suppression Scheme Based on Antenna Array for GNSS Jamming and Spoofing

• Published in: Sensors (Basel, Switzerland) Vol. 19; no. 18; p. 3870
• Main Authors: Zhang, Jiaqi, Cui, Xiaowei, Xu, Hailong, Lu, Mingquan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 07.09.2019; MDPI
• Subjects: Algorithms; antenna array; Antenna arrays; Antennas; anti-jamming; Beamforming; Computer simulation; Correlation analysis; Cyclic MUSIC algorithm; Direction of arrival; Eigenvalues; Global Navigation Satellite System (GNSS); Jamming; Noise; Principal components analysis; Receivers; Receivers & amplifiers; Signal processing; Simulation; Spoofing; spoofing detection; spoofing mitigation; subspace projection; Subspaces; New York; United States > US; China; subspace projection; spoofing mitigation; Cyclic MUSIC algorithm; spoofing detection; Global Navigation Satellite System (GNSS); antenna array; anti-jamming
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s19183870

Jamming and spoofing are the two main types of intentional interference for global navigation satellite system (GNSS) receivers. Due to the entirely different signal characteristics they have, a few techniques can deal with them simultaneously. This paper proposes a two-stage interference suppression scheme based on antenna arrays, which can detect and mitigate jamming and spoofing before the despreading of GNSS receivers. First, a subspace projection was adopted to eliminate the high-power jamming signals. The output signal is still a multi-dimensional vector so that the spatial processing technique can be used in the next stage. Then, the cyclostationarity of GNSS signals were fully excavated to reduce or even remove the noise component in the spatial correlation matrix. Thus, the signal subspace, including information of the power and the directions-of-arrival (DOAs) of the GNSS signals, can be obtained. Next, a novel cyclic correlation eigenvalue test (CCET) algorithm was proposed to detect the presence of a spoofing attack, and the cyclic music signal classification (Cyclic MUSIC) algorithm was employed to estimate the DOAs of all the navigation signals. Finally, this study employed a subspace projection again to eliminate the spoofing signals and provide a higher gain for authentic satellite signals through beamforming. All the operations were performed on the raw digital baseband signal so that they did not introduce additional computational complexity to the GNSS receiver. The simulation results show that the proposed scheme not only suppresses jamming and spoofing effectively but also maximizes the power of the authentic signals. Nonetheless, the estimated DOA of spoofing signals may be helpful for the interference source positioning in some applications.