Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections is a scholarly work, published in 2018 in ''IEEE Transactions on Antennas and Propagation''. The main subjects of the publication include Structural health monitoring, artificial intelligence, algorithm, artificial neural network, Speech enhancement, generalization, biological robustness, autoencoder, pattern recognition, computer science, and Direction of arrival. The paper introduces a framework of the deep neural network to address the DOA estimation problem, so as to obtain good adaptation to array imperfections and enhanced generalization to unseen scenarios.