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

In this letter, we consider high-resolution through-the-wall radar imaging (TWRI) using
compressive sensing (CS) techniques that exploit the target and sensing characteristics …

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 …

In this paper, we propose a two-level block matching pursuit (TLBMP) algorithm based on a
probabilistic graph model for polarimetric through-wall radar imaging (TWRI). In typical L …

Among various types of sensors, through-wall radar is a promising sensor that can penetrate
obstacles and sense the targets behind them. In this article, by exploiting the common …

This paper presents a low-rank and jointly-sparse approach for imaging stationary targets
using multipolarization through-wall radar (TWR). The proposed approach exploits two …

For spatially distributed targets encountered in radar and sonar applications, direct
application of subspace-based methods usually do not lead to an accurate estimation of the …

Polarimetric through‐the‐wall radar imaging (TWRI) system has the enhancing performance
in the detection, imaging, and classification of concealed targets behind the wall. We …

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

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 …