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eess.SP2026
Angular Sector-Based Sparse Array Design for Adaptive Beamforming Using Deep Learning
John Kobak, Ethan Atiyeh, Syed A Hamza
Efficient sparse array reconfigurability is essential for cognitive sensing in dynamic radio frequency environments, where rapid interference variations require both adaptability a…
eess.SP2026
Deep Learning Based Sparse Array Design with Pre-Steering for Adaptive Beamforming
Ian Straub, Syed A Hamza
This paper investigates the use of convolutional neural networks (CNNs) for learning sparse array configurations that achieve near-optimal beamforming under varying source and inte…