THE ELEVENTH IEEE SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (IEEE SAM2020)

298 / 2020-01-06 02:35:00

On the DOA Estimation Performance of Optimum Arrays Based on Deep Learning

antenna selection; sparse arrays; direction-of-arrival estimation; deep learning

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.