Robust DOA Estimation Method Based on Self-Supervised Learning and Adversarial Augmentation
Direction-of-arrival (DOA) estimation in complex electromagnetic environments plays a critical role in target detection and localization. However, achieving accurate estimation remains a challenge under adverse and non-ideal conditions. We propose a novel self-supervised learning and adversarial augmentation complex-va...