67 citations · 131 across the 10 of their papers we have counts for
13 papers
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…
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…
Continuous Human Activity Recognition using a MIMO Radar for Transitional Motion Analysis
John Kobak, Bennett J. Richman, LaJuan Washington +1
The prompt and accurate recognition of Continuous Human Activity (CHAR) is critical in identifying and responding to health events, particularly fall risk assessment. In this paper…
Multi Antenna Radar System for American Sign Language (ASL) Recognition Using Deep Learning
Gavin MacLaughlin, Jack Malcolm, Syed Ali Hamza
This paper investigates RF-based system for automatic American Sign Language (ASL) recognition. We consider radar for ASL by joint spatio-temporal preprocessing of radar returns us…
Sparse Array Capon Beamformer Design Availing Deep Learning
Syed A. Hamza, Moeness G. Amin
The paper considers sparse array design for receive beamforming achieving maximum signal-to-interference plus noise ratio (MaxSINR). We develop a design approach based on supervise…
Radar Human Motion Classification Using Multi-Antenna System
Patrick A. Schooley, Syed A. Hamza
This paper considers human activity classification for an indoor radar system. Human motions generate nonstationary radar returns which represent Doppler and micro-Doppler signals.…