67 citations · 131 across the 10 of their papers we have counts for
12 papers · 1 filter
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…
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.…
Cognitive-Driven Optimization of Sparse Array Transceiver for MIMO Radar Beamforming
Weitong Zhai, Xiangrong Wang, Syed A. Hamza +1
Cognitive multiple-input multiple-output (MIMO) radar is capable of adjusting system parameters adaptively by sensing and learning in complex dynamic environment. Beamforming perfo…
Sparse Array Transceiver Design for Enhanced Adaptive Beamforming in MIMO Radar
Syed A. Hamza, Weitong Zhai, Xiangrong Wang +1
Sparse array design aided by emerging fast sensor switching technologies can lower the overall system overhead by reducing the number of expensive transceiver chains. In this paper…
Sparse Array Beamformer Design for Active and Passive Sensing
Syed Ali Hamza
Sparse sensor placement, with various design objectives, has successfully been employed in diverse application areas, particularly for enhanced parameter estimation and receiver pe…
Sparse Array Beamforming Design for Wideband Signal Models
Syed A. Hamza, Moeness Amin
We develop sparse array receive beamformer design methods achieving maximum signal-to-interference plus noise ratio (MaxSINR) for wideband sources and jammers. Both tapped delay li…
Sparse Array Design for Maximizing the Signal-to-Interference-plus-Noise-Ratio by Matrix Completion
Syed A. Hamza, Moeness G. Amin
We consider sparse array beamfomer design achieving maximum signal-to interference plus noise ratio (MaxSINR). Both array configuration and weights are attuned to the changing sens…
Hybrid Sparse Array Beamforming Design for General Rank Signal Models
Syed A. Hamza, Moeness G. Amin
The paper considers sparse array design for receive beamforming achieving maximum signal-to-interference plus noise ratio (MaxSINR) for both single point source and multiple point…
Sparse Array DFT Beamformers for Wideband Sources
Syed A. Hamza, Moeness G. Amin
Sparse arrays are popular for performance optimization while keeping the hardware and computational costs down. In this paper, we consider sparse arrays design method for wideband…