Yuehao Guo

Cascaded Multi-Head Attention Transformer Framework for Direction of Arrival Estimation

Deep neural networks have demonstrated significant potential in direction of arrival (DOA) estimation. However, some existing architectures, especially convolution-based ones, mainly emphasize local feature extraction and may not sufficiently capture long-range dependencies in array observations. To better model such n...