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The measurement matrix plays an important role in the hardware implementation of wideband sub-Nyquist sampling. In modulated wideband converter (MWC), the measurement sequences are derived from binary measurement matrix, e.g., random Bernoulli matrix, which can be easily implemented by M ×N shift registers. Utilizing the special cyclic structure, partial circulant measurement matrix only needs N shift...
In this paper, a new beamformer with improved robustness against the small sample size is proposed. This beamformer first employs the modified sparse Bayesian learning (SBL) algorithm to obtain an accurate estimate of the covariance matrix. To further improve the robustness, subspace projection is implemented subsequently. In addition, due to the inherent decorrelation capability of the SBL algorithm,...
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