In this letter, we propose a multi-task compressive sensing algorithm for the reconstruction of
clustered sparse entries based on hierarchical Bayesian framework. By extending a paired …

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

Through-the-wall radar imaging (TWRI) is emerging as a viable technology for providing
high-quality imagery of enclosed structures. TWRI makes use of electromagnetic waves to …

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 …

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 …

According to the theory of compressive sensing, a single-pixel imaging system was built in
our laboratory, and imaging scenes are successfully reconstructed by single-pixel imaging …

This paper elaborates the design details of a new set of bi orthogonal wavelet filters derived
from double sided exponential splines. The designed wavelets are applied in compressed …

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 …

In this paper, we propose a novel greedy algorithm referred to as look-ahead hybrid
matching pursuit (LAHMP) for multipolarization through-wall radar imaging (TWRI). From the …