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Phased array weather radars, particularly with high temporal resolution, essentially need a robust and fast beamformer to accurately estimate precipitation profiles such as reflectivity and Doppler velocity. In this paper, we introduce a neural-network-based beamformer to address this problem. In particular, the optimum weight vector is computed by modeling the problem as a three-layer radial basis...
A novel approach to the problem of the recovery of complex aperture distribution of the phased array antenna with singe RF channel is presented in this paper. The computation of the amplitude and phase of each array element is developed as a mapping problem which can be modeled using a three-layer radial basis function neural network (RBFNN) trained with input/output pairs. RBFNN was used because...
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