Abstract / truncated to 115 words (read the full abstract)

This dissertation details three approaches for direction-of-arrival (DOA) estimation or beamforming in array signal processing from the perspective of sparsity. In the first part of this dissertation, we consider sparse array beamformer design based on the alternating direction method of multipliers (ADMM); in the second part of this dissertation, the problem of joint DOA estimation and distorted sensor detection is investigated; and off-grid DOA estimation is studied in the last part of this dissertation. In the first part of this thesis, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-interference-plus-noise ratio (SINR). The proposed method utilizes ADMM, and admits ... toggle 8 keywords

array signal processing – direction-of-arrival (doa) estimation – beamforming – alternating direction method of multipliers – joint doa estimation and distorted sensor detection – off-grid doa estimation – iteratively reweighted least squares – block restricted isometry property

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