Scene Adaptive and Information-theoretic approaches to Sparse RF Computational Imaging

Millimeter-wave (mm-wave) imaging and sensing systems offer exceptional capabilities in high-resolution imaging and precise detection. This article introduces two computational imaging results; 1) a novel K-band computational imager that combines custom-designed metasurfaces with shape-morphing origami platforms for scene adaptive imaging 2) W-Band single transmitter and a single scanned receiver synthetic aperture computational imager. In the first approach, we employ metasurface-based transceivers operating at frequencies between 17-27 GHz on conformable origami platform to demonstrate the reconstruction of 2D and 3D stand-off targets. In the second approach, we form a sparse synthetic 75-110 GHz W-band aperture and perform stand-off diffraction limited imaging of 2D and 3D targets. These approaches are modular, scalable and cost-effective approach allows for these conformable/synthetic apertures in remote sensing, security imaging at checkpoints, automotive radars, and biomedical imaging. Additionally, in both the K-band and W-band computational imaging we present Shannon-Hartley theorem based information-theoretic approaches to analyze measurements and reconstruct the scenes.