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Jining Feng, Xiaobo Yang, Haibin Ma, Jun Wang. Anti-Jamming Algorithm Based on Spatial Blind Search for Global Navigation Satellite System ReceiverJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(1): 103-109. DOI: 10.15918/j.jbit1004-0579.18126
Citation: Jining Feng, Xiaobo Yang, Haibin Ma, Jun Wang. Anti-Jamming Algorithm Based on Spatial Blind Search for Global Navigation Satellite System ReceiverJ. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2020, 29(1): 103-109. DOI: 10.15918/j.jbit1004-0579.18126

Anti-Jamming Algorithm Based on Spatial Blind Search for Global Navigation Satellite System Receiver

  • A novel subspace projection anti-jamming algorithm based on spatial blind search is proposed, which uses multiple single-constrained subspace projection parallel filters. If the direction of arrival (DOA) of a satellite signal is unknown, the traditional subspace projection anti-jamming algorithm cannot form the correct beam pointing. To overcome the problem of the traditional subspace projection algorithm, multiple single-constrained subspace projection parallel filters are used. Every single-constrained anti-jamming subspace projection algorithm obtains the optimal weight vector by searching the DOA of the satellite signal and uses the output of cross correlation as a decision criterion. Test results show that the algorithm can suppress the jamming effectively, and generate high gain toward the desired signal. The research provides a new idea for the engineering implementation of a multi-beam anti-jamming algorithm based on subspace projection.
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