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Adaptive Beamforming Algorithm for Interference Suppression in GNSS Receivers


Affiliations
1 School of Electronics and Information, Northwestern Polytechnical University, Xian City, China
 

Antenna arrays with space-time adaptive processing (STAP) have been widely used in Global Navigation Satellite System (GNSS) to suppress interference in spatial domain as well as temporal domain, its performance depends on digital beamforming algorithms. In this paper, we propose a joint adaptive beamforming algorithm which produces nullings in the directions of interference while simultaneously maximizing carrier-to-noise ratio (C/N0) of post-correlation signal. Firstly, the interferences are cancelled by using subspace orthogonal projection. Then the maximum C/N0 constraint algorithm is employed to enhance the post-correlation signal. Meanwhile, a simple estimation approach about numbers of interferences is introduced. Finally, simulations demonstrate that using our adaptive algorithm, STAP can effectively suppress the strong interference and improve the capturing capability of GNSS.

Keywords

Adaptive Beamforming, Interference Suppression, Subspace Orthogonal Projection, Max C/N0, GNSS Receivers.
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  • Adaptive Beamforming Algorithm for Interference Suppression in GNSS Receivers

Abstract Views: 338  |  PDF Views: 208

Authors

Zhao Hongwei
School of Electronics and Information, Northwestern Polytechnical University, Xian City, China
Lian Baowang
School of Electronics and Information, Northwestern Polytechnical University, Xian City, China
Feng Juan
School of Electronics and Information, Northwestern Polytechnical University, Xian City, China

Abstract


Antenna arrays with space-time adaptive processing (STAP) have been widely used in Global Navigation Satellite System (GNSS) to suppress interference in spatial domain as well as temporal domain, its performance depends on digital beamforming algorithms. In this paper, we propose a joint adaptive beamforming algorithm which produces nullings in the directions of interference while simultaneously maximizing carrier-to-noise ratio (C/N0) of post-correlation signal. Firstly, the interferences are cancelled by using subspace orthogonal projection. Then the maximum C/N0 constraint algorithm is employed to enhance the post-correlation signal. Meanwhile, a simple estimation approach about numbers of interferences is introduced. Finally, simulations demonstrate that using our adaptive algorithm, STAP can effectively suppress the strong interference and improve the capturing capability of GNSS.

Keywords


Adaptive Beamforming, Interference Suppression, Subspace Orthogonal Projection, Max C/N0, GNSS Receivers.