Compressive and Adaptive Millimeter-wave SAR

TL;DR

This paper demonstrates an adaptive sensing method for high-resolution millimeter-wave SAR that efficiently locates sparse metallic scatterers with sub-wavelength accuracy, reducing the number of measurements needed compared to traditional raster scanning.

Contribution

It introduces an adaptive sampling algorithm for millimeter-wave SAR that significantly improves efficiency in locating sparse scatterers with high precision.

Findings

Achieved sub-wavelength accuracy in scatterer localization

Reduced sampling steps to one-quarter of raster scan

Validated approach with high-resolution W-band radar

Abstract

We apply adaptive sensing techniques to the problem of locating sparse metallic scatterers using high-resolution, frequency modulated continuous wave W-band RADAR. Using a single detector, a frequency stepped source, and a lateral translation stage, inverse synthetic aperture RADAR reconstruction techniques are used to search for one or two wire scatterers within a specified range, while an adaptive algorithm determined successive sampling locations. The two-dimensional location of each scatterer is thereby identified with sub-wavelength accuracy in as few as 1/4 the number of lateral steps required for a simple raster scan. The implications of applying this approach to more complex scattering geometries are explored in light of the various assumptions made.