Exploiting intervoxel covariance as prior information in millimeter-wave computational imaging systems

Viswanathan, Naren; Schurig, David

doi:10.1117/12.2559385

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[ 29 , 30 , 31 , 32 , 33 , 34 ] In recent years, there have been demonstrations exploiting deep neural networks, artificial intelligence, and machine learning approaches for image feature extraction and faster/improved image reconstructions. [ 35 , 36 , 37 , 38 , 39 ]…”

Section: Introductionmentioning

confidence: 99%

Origami Microwave Imaging Array: Metasurface Tiles on a Shape‐Morphing Surface for Reconfigurable Computational Imaging

Venkatesh

Sturm

et al. 2022

Advanced Science

View full text Add to dashboard Cite

Origami is the art of paper folding that allows a single flat piece of paper to assume different 3D shapes depending on the fold patterns and the sequence of folding. Using the principles of origami along with computation imaging technique the authors demonstrate a versatile shape‐morphing microwave imaging array with reconfigurable field‐of‐view and scene‐adaptive imaging capability. Microwave/millimeter‐wave based array imaging systems are expected to be the workhorse for sensory perception of future autonomous intelligent systems. The imaging capability of a planar array‐based systems operating in complex scattering conditions have limited field‐of‐view and lack the ability to adaptively reconfigure resolution. To overcome this, here, deviations from planarity and isometry are allowed, and a shape‐morphing computational imaging system is demonstrated. Implemented on a reconfigurable Waterbomb origami surface with 22 active metasurface panels that radiate near‐orthogonal modes across 17–27 GHz, capability to image complex 3D objects in full details minimizing the effects of specular reflections in diffraction‐limited sparse imaging with scene adaptability, reconfigurable cross‐range resolution, and field‐of‐view is demonstrated. Such electromagnetic origami surfaces, through simultaneous surface shape‐morphing ability (potentially with shape‐shifting electronic materials) and electromagnetic field programmability, opens up new avenues for intelligent and robust sensing and imaging systems for a wide range of applications.

show abstract

Section: Introductionmentioning

confidence: 99%

Origami Microwave Imaging Array: Metasurface Tiles on a Shape‐Morphing Surface for Reconfigurable Computational Imaging

Venkatesh

Sturm

et al. 2022

Advanced Science

View full text Add to dashboard Cite

show abstract

Shape-morphing origami platforms for RF computational imaging

Venkatesh

2024

Radar Sensor Technology XXVIII

View full text Add to dashboard Cite

Millimeter-wave (mm-wave) imaging systems are proving to be critical in high-resolution imaging to enable automatic security screening applications. In this article, we introduce a novel K-band computational imaging system that integrates custom-designed metasurfaces with shape-morphing origami platforms to enable scene adaptive imaging. 1 The system comprises of metasurface-based active transceivers operating at frequencies ranging from 17 to 27 GHz mounted on a shape morphing origami platforms to demonstrate diffraction-limited reconstruction of 2D and 3D targets. This approach is scalable, modular, conformable, and cost-effective. Furthermore, we exploit information-theoretic techniques based on the Shannon-Hartley theorem to analyze measurements and reconstruct scenes, which in turn provides a mathematical basis to the formal design of such imaging apertures.

show abstract

Exploiting intervoxel covariance as prior information in millimeter-wave computational imaging systems

Cited by 2 publications

References 0 publications

Origami Microwave Imaging Array: Metasurface Tiles on a Shape‐Morphing Surface for Reconfigurable Computational Imaging

Origami Microwave Imaging Array: Metasurface Tiles on a Shape‐Morphing Surface for Reconfigurable Computational Imaging

Shape-morphing origami platforms for RF computational imaging

Contact Info

Product

Resources

About