Conformal algorithm of a directional graph based on covariance matrix reconstruction

DOI:	10.11809/bqzbgcxb2023.01.031
Keywords:	main lobe maintenance; adaptive beamforming; worst case performance optimization; main lobe anti jamming; convex optimization
Abstract:	In the process of modern radar detection, adaptive beamforming technology is used to form a null trap at the jamming position so as to eliminate its influence. However, the null of the beam also leads to the distortion of the main lobe beam, which seriously reduces the ability of detecting the target. In this paper, a worst case performance optimization (WCPO) algorithm is obtained to deal with beam conformation. The algorithm obtains a reconstructed jamming noise covariance matrix by integrating the region that does not contain the target signal in the space, then introduces a quadratic penalty term to make the reconstructed covariance matrix meet the convex optimization condition, and finally obtains the optimal solution of the weight vector through the convex optimization theory. Compared with the traditional WCPO algorithm, the proposed algorithm has a higher output signal to jamming noise ratio under the same conditions, and can realize the main lobe beam shape preservation when there is multiple jamming in the main lobe without prior information of jamming signals. The simulation verifies the effectiveness of the algorithm.
Published:	2023-01-28
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