Distributed Radio Holography

Technical Explanation

By treating an entire network of distributed antenna elements as a giant synthetic aperture, Distributed Radio Holography captures both amplitude and phase of scattered electromagnetic waves. Using inverse scattering algorithms and physics-informed neural networks (PINNs), the network computes high-resolution 3D holographic images of physical objects, vehicles, and internal room layouts without emitting any optical light, functioning through walls and zero-visibility smoke.

Key Functions

• Reconstructs photorealistic 3D volumetric images of environments using radio waves
• Sees through opaque drywall, fog, smoke, and clothing in high resolution
• Combines scattered phase data across hundreds of synchronized distributed antennas
• Aids search and rescue teams during structural fires and building collapses