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Anti-Jamming Algorithm Based on Spatial Blind Search for Global Navigation Satellite System Receiver
Authors:Jining Feng  Xiaobo Yang  Haibin Ma  Jun Wang
Affiliation:School of Technology, Hebei Normal University, Shijiazhuang 050031, China,Department of Electronic Engineering, Shijiazhuang Vocational and Technical College, Shijiazhuang 050081, China,School of Technology, Hebei Normal University, Shijiazhuang 050031, China and School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
Abstract: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.
Keywords:global navigation satellite system (GNSS)  anti-jamming  spatial blind search  subspace projection
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