Direction of Arrival Estimation

Direction-of-arrival (DOA) estimation aims to determine the location of sound or radio sources using sensor arrays, crucial for applications like speech enhancement, autonomous driving, and underwater acoustics. Current research emphasizes improving robustness in challenging environments (noise, reverberation, moving sources) through algorithmic enhancements like reliability weighting and the incorporation of auxiliary microphones, as well as leveraging deep learning architectures such as transformers and convolutional neural networks for improved accuracy and efficiency. These advancements are significant for various fields, enabling more accurate and reliable localization in complex scenarios, ultimately impacting applications ranging from hearing aids to advanced driver-assistance systems.