Improved algorithm of multi-mainlobe interference suppression under uncorrelated and coherent conditions

Abstract

A new method based on the iterative adaptive algorithm (IAA) and blocking matrix preprocessing (BMP) is proposed to study the suppression of multi-mainlobe interference. The algorithm is applied to precisely estimate the spatial spectrum and the directions of arrival (DOA) of interferences to overcome the drawbacks associated with conventional adaptive beamforming (ABF) methods. The mainlobe interferences are identified by calculating the correlation coefficients between direction steering vectors (SVs)and rejected by the BMP pretreatment. Then, IAA is subsequently employed to reconstruct a sidelobe interference-plus-noise covariance matrix for the preferable ABF and residual interference suppression. Simulation results demonstrate the excellence of the proposed method over normal methods based on BMP and eigen-projection matrix perprocessing (EMP) under both uncorrelated and coherent circumstances.

Keywords

mainlobe interference suppression / adaptive beamforming / spatial spectral estimation / iterative adaptive algorithm / blocking matrix preprocessing

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Funding

The National Natural Science Foundation of China(U19B2031)