7.1k citations
- Center for Astrophysics Harvard & SmithsonianUS46 papers
- Massachusetts Institute of TechnologyUS41 papers
- California Institute of TechnologyUS40 papers
- Centre National de la Recherche ScientifiqueFR39 papers
- University of AmsterdamNL37 papers
- Radboud University NijmegenNL36 papers
- Goddard Space Flight CenterUS35 papers
- University of Illinois Urbana-ChampaignUS34 papers
- University of California, BerkeleyUS33 papers
- Université Paris CitéFR32 papers
- Sorbonne UniversitéFR31 papers
- University College LondonGB31 papers
8 papers · 1 filter
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…
Efficient Near-Field Imaging Using Cylindrical MIMO Arrays
Shiyong Li, Shuoguang Wang, Moeness G. Amin +1
Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection. A near-field imaging algorit…
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…
RPCA-Based High Resolution Through-the-Wall Human Motion Detection and Classification
Qiang An, Shuoguang Wang, Wenji Zhang +4
Radar based assisted living has received great amount of research interest in recent years. By employing the micro-Doppler features of indoor human motions, accurate recognition an…
Range-Max Enhanced Ultra-Wideband Micro-Doppler Signatures of Behind Wall Indoor Human Activities
Qiang An, Shuoguang Wang, Ahmad Hoorfar +4
Penetrating detection and recognition of behind wall indoor human activities has drawn great attentions from social security and emergency service department in recent years since…
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures
Baris Erol, Sevgi Zubeyde Gurbuz, Moeness G. Amin
Deep neural networks (DNNs) have recently received vast attention in applications requiring classification of radar returns, including radar-based human activity recognition for se…