In this paper, we consider the problem of throughwall radar imaging (TWRI) with an antenna
array and develop a distributed greedy algorithm named hybrid matching pursuit (HMP). By …

The linear sampling method (LSM) is a qualitative inverse scattering technique that can
create good-fidelity imagery at low computational expense. However, it is challenging to use …

In this paper, we present an innovative algorithm for sparse imaging of perfect electric
conducting (PEC) targets. The algorithm is based on higher order sources or multipoles …

The linear sampling method (LSM) is a qualitative inverse scattering technique for
reconstructing the shape of a target. It has several beneficial qualities, including the …

The low-dimensional-model-based electromagnetic imaging is an emerging member of the
big family of computational imaging, by which the low-dimensional models of underlying …

We present a formulation of the linear sampling method (LSM) for imaging conducting
targets using a spatially sparse set of receive locations. The technique mitigates the lack of …

This paper presents a novel method for three‐dimensional microwave imaging based on
sparse processing. To enforce the sparsity of the unknown function, we take advantage of …

We developed a novel qualitative imaging algorithm based on a polynomial approximation
of the unknown contrast and sparse () regularization. Contrary to previously published …

The phase-encoded linear sampling method (PE-LSM) is an inverse scattering technique for
reconstructing the shape of a conducting target from scattered electric fields. It is a variant of …

We have developed an algorithm that enables characterization of radiating sources by
amplitude measurements in a Faraday cage. The algorithm uses equivalent dipoles and …