Robust Adaptive Beamforming Based on Covariance Matrix Reconstruction with Gaussian Random Dimensionality Reduction
The performance of adaptive beamforming will deteriorate severely under small sample support, especially when the number of snapshots is smaller than the number of sensors. In this paper, we propose an effective algorithm for robust adaptive beamforming under small sample. Firstly, we utilize standa...
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Veröffentlicht in: | Circuits, systems, and signal processing systems, and signal processing, 2024-09, Vol.43 (9), p.6035-6046 |
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