Abstract: We present a Siamese neural network (SNN) framework for direction-of-arrival (DOA) estimation that learns robust subspace embeddings directly from sample covariance matrices (SCMs).
Abstract: In radar maritime target detection tasks, most radars need to cover a wide observation area by scanning. The beam can not stay in one direction for a long time to obtain multiple accumulated ...