Sparse Array Design for Direction Finding using Deep Learning. (arXiv:2308.04615v1 [eess.SP])

In the past few years, deep learning (DL) techniques have been introduced for
designing sparse arrays. These methods offer the advantages of feature
engineering and low prediction-stage complexity, which is helpful in tackling
the combinatorial search inherent to finding a sparse array. In this chapter,
we provide a synopsis of several direction finding applications of DL-based
sparse arrays. We begin by examining supervised and transfer learning
techniques that have applications in selecting sparse arrays for a cognitive
radar application. Here, …

advantages arrays arxiv complexity deep learning design engineering feature feature engineering low prediction search stage