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A novel computational technique is presented in this article for enabling the estimation of both the localization of radiating sources and their polarization states. To this end, a radiating metasurface is conceived to multiplex the polarization information received by the its aperture into a single frequency domain signal, allowing for a massive simplification of the architectures conventionally...
A near-field radar imaging technique is presented based on single-frequency measurements from a multiple-input multiple-output (MIMO) array. Such arrays are able to fully sample the κ-space of a region of interest. Advantageously, both range and cross-range information can be reconstructed, in contrast to conventional single-input multiple-output systems which require wideband frequency illumination...
In recent years, several techniques of imaging have emerged based on compressive sensing. Thus, using passive devices able to code and sum the information measured on a radiating aperture, complex UWB beamforming hardwares can be replaced by inverse problems to solve using deconvolution techniques. Two similar compressive techniques have been developed independently, based on a passive multiplexer...
We investigate a metamaterial imager (metaimager) consisting of one transmitting metamaterial panel and a collection of broadband receiving probes. Image reconstruction is performed by interrogating a scene with a set of radiative measurement modes encoded in the frequency response of the metamaterial panel. The image quality is a function of the ability of the receiving probes to capture the reflected...
We investigate the performance of various image reconstruction algorithms for the design of a metamaterial aperture-based imaging system. The metamaterial imaging system consists of a transmitting metamaterial aperture panel and a receiving low-gain probe antenna. Imaging of a 3 cm resolution target is performed using a number of reconstruction algorithms, including pseudo-inverse, matched filter,...
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