Integrating compressed sensing (CS) with millimeter-wave (mmW) holography has shown
great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed …

A novel two-step inverse-scattering technique is proposed for through-the-wall microwave
imaging. The approach is based on a regularization scheme developed in the framework of …

The detection of multiple targets in an enclosed scene, from its outside, is a challenging
topic of research addressed by Through-the-Wall Radar Imaging (TWRI). Traditionally, TWRI …

Ultra-wideband (UWB) multiple-input multiple-output (MIMO) through-wall radar is widely
used in through-wall human target detection for its good penetration characteristics and …

Abstract Total Variation and Low-Rank regularizations have shown significant successes in
machine learning, data mining, and image processing in past decades. This paper develops …

This study presents an innovative methodology for reconstructing internal structures of
industrial tank reactors using Electrical Impedance Tomography (EIT). The approach …

Total variation (TV) is an effective super-resolution method to improve the azimuth resolution
and preserve the contour information of the target in airborne radar imaging. However, the …

Accurate radar tracking is crucial in defense, navigation, and surveillance applications,
where high precision and resilience to noise are essential. Traditional radar tracking …

A hybrid inversion scheme for through-the-wall imaging is proposed in this paper. The
approach is based on a linearized model of the inverse-scattering problem, employing the …

The geometric high-order regularization methods such as mean curvature and Gaussian
curvature, have been intensively studied during the last decades due to their abilities in …