Work

Adaptive millimeter-wave synthetic aperture imaging for compressive sampling of sparse scenes

Year: 2014

Type: article

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.

Source: Optics Express

DOI: 10.1364/oe.22.013515

Authors: Alex Mrozack, Martin Heimbeck, Daniel L. Marks, Jonathan Richard, Henry O. Everitt, David J. Brady

Institutions: Duke University, United States Army, U.S. Army Combat Capabilities Development Command Aviation & Missile Center, IERUS Technologies (United States)

Language: English

Topic: Advanced SAR Imaging Techniques

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funder: Air Force Office of Scientific Research