Compressed sensing techniques have been applied to through-the-wall radar imaging
(TWRI) and multipolarization TWRI for fast data acquisition and enhanced target localization …

This paper addresses the problem of wall clutter mitigation and image reconstruction for
through-wall radar imaging (TWRI) of stationary targets by seeking a model that incorporates …

This paper introduces a joint low-rank and sparsity-based model to address the problem of
wall-clutter mitigation in compressed through-the-wall radar imaging. The proposed model is …

Through-the-wall radar (TWR) imaging is an emerging technology that enables detection
and localization of targets behind walls. In practical operations, TWR sensing faces several …

We address the detection of material defects, which are inside a layered material structure
using compressive sensing-based multiple-input and multiple-output (MIMO) wireless radar …

This paper addresses the problem of indoor scene reconstruction in compressed sensing
through-the-wall radar imaging. The proposed method is motivated by two observations that …

This article introduces a probabilistic Bayesian model for addressing the problem of
compressive multipolarization through-wall radar imaging (TWRI). The proposed approach …

This paper presents a low-rank matrix completion approach to tackle the problem of wall
clutter mitigation for through-wall radar imaging in the compressive sensing context. In …

This paper proposes a low-rank and sparse regularized optimization model to address the
problem of wall clutter mitigation, stationary, and moving target indications using through …

This paper considers the problem of multichannel through-wall radar (TWR) imaging from a
probabilistic Bayesian perspective. Given the observed radar signals, a joint distribution of …