Open AccessResearchment of Mainlobe Anti-jamming Algorithms
Author(s) -
Zhangkai Luo,
Pei Zhang,
Yinan Li,
Xinmin Wang,
Bo Zou
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1673/1/012023
Subject(s) - main lobe , algorithm , side lobe , singular value decomposition , covariance matrix , interference (communication) , eigendecomposition of a matrix , computer science , signal to interference plus noise ratio , jamming , beamforming , adaptive beamformer , singular value , noise (video) , subspace topology , noise power , signal (programming language) , antenna (radio) , eigenvalues and eigenvectors , telecommunications , power (physics) , physics , computer vision , artificial intelligence , channel (broadcasting) , quantum mechanics , image (mathematics) , thermodynamics , programming language
Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method.