Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction

Zhangkai LUO  Huali WANG  Wanghan LV  Hui TIAN  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E100-A   No.4   pp.1055-1059
Publication Date: 2017/04/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E100.A.1055
Type of Manuscript: LETTER
Category: Digital Signal Processing
mainlobe interference suppression,  covariance matrix reconstruction,  adaptive beamforming,  

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In this letter, a novel mainlobe anti-jamming method via eigen-projection processing and covariance matrix reconstruction is proposed. The present work mainly focuses on two aspects: the first aspect is to obtain the eigenvector of the mainlobe interference accurately in order to form the eigen-projection matrix to suppress the mainlobe interference. The second aspect is to reconstruct the covariance matrix which is uesd to calculate the adaptive weight vector for forming an ideal beam pattern. Additionally, the self-null effect caused by the signal of interest and the sidelobe interferences elimination are also considered in the proposed method. Theoretical analysis and simulation results demonstrate that the proposed method can suppress the mainlobe interference effectively and achieve a superior performance.