Abstract: We propose a learning-based DOA framework that selects subarray elements dynamically to address array distortion and path-dependent loss. A lightweight classifier is trained to activate ...

Abstract: To address the complexities of spatial non-stationary (SnS) effects and spherical wave propagation in near-field channel estimation (CE) for extremely large-scale multiple-input ...