Kirchhoff Migration-Enabled Near-Field Computational Imaging with Dynamically Reconfigurable Metasurface Antennas

This letter presents an experimental implementation of a near-field (NF) computational imaging (CI) system based on Kirchhoff migration and dynamically reconfigurable metasurface antennas (DMAs). The proposed approach uses a pair of DMAs to form a single-pixel microwave CI system. Unlike prior approaches relying on idealized aperture field modeling, this work explores the Kirchhoff migration technique for CI incorporating NF scans to capture realistic total field distributions. A mathematical framework is introduced to transform compressed mask-frequency measurements into spatial-frequency domain data, enabling high-resolution 3-D image reconstruction via an adapted Kirchhoff migration technique. Visual and quantitative results demonstrate superior resolution and computational efficiency compared to matched filter and least-squares methods.