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In order to enhance the performance of the existing beamformer-based direction-of-arrival (DOA) estimation methods, a novel DOA estimation method based on the sparse and low-rank decomposition of the sample covariance matrix is proposed. First, the sample covariance matrix is divided into the covariance matrix of the desired signal and interference as well as that of noise. The first component is...
Robust adaptive beamforming (RAB) has became a popular research topic, with various RAB techniques being proposed in the past decades. However, because the sample covariance matrix rather than the interference-plus-noise co-variance matrix is used to calculate the weight vector, the performance of the previously developed RAB techniques is not optimal. In this paper, a novel RAB algorithm, which uses...
The existing adaptive beamforming techniques developed for underwater sensor array usually suffer from significant performance degradation due to the mismatch between the presumed and actual steering vectors. In this paper, a novel convex optimization based robust adaptive beamforming algorithm is proposed. First, the steering vector corresponding to the desired signal is estimated by solving a convex...
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