On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning
Steven Wandale, Koichi Ichige
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10 Jun 2020
In this paper, we investigate the optimality of
deep learning-based optimal sparse arrays in comparison to
well known conventional sparse linear arrays. Recently, a deep
learning-based approach was proposed for antenna selection
purposes as a measure towards reducing high hardware and
computational cost in radar systems. Through numerical examples,
we demonstrated that the proposed approach yields sparse
arrays whose performance and configurations are comparably
closer to conventional sparse arrays.
deep learning-based optimal sparse arrays in comparison to
well known conventional sparse linear arrays. Recently, a deep
learning-based approach was proposed for antenna selection
purposes as a measure towards reducing high hardware and
computational cost in radar systems. Through numerical examples,
we demonstrated that the proposed approach yields sparse
arrays whose performance and configurations are comparably
closer to conventional sparse arrays.
