Radar Signal Sorting via a Dual-Layer Multi-Head Attention Broad Learning System
Radar signal sorting is a fundamental task in passive electromagnetic sensing that separates pulses emitted by multiple radars from densely interleaved streams. Existing supervised deep learning methods often require large labeled datasets and iterative optimization, limiting their applicability in non-cooperative, lat...