A Siamese network with a sparsity augmentation layer improves single-snapshot direction-of-arrival estimation accuracy for sparse linear arrays in simulated automotive radar tests.
Deep-neural-network- enabled vehicle detection using high-resolution automotive radar imaging,
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Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays
A Siamese network with a sparsity augmentation layer improves single-snapshot direction-of-arrival estimation accuracy for sparse linear arrays in simulated automotive radar tests.