Synthetic aperture radar (SAR) image formation can be treated as a class of ill-posed linear
inverse problems, and the resolution is limited by the data bandwidth for traditional imaging …

In this paper, a sparsity-driven method of micro-Doppler analysis is proposed for dynamic
hand gesture recognition with radar sensors. First, sparse representations of the echoes …

We examine nonstationary signals within the framework of compressive sensing and sparse
reconstruction. Most of these signals, which arise in numerous applications, exhibit small …

The airborne synthetic aperture radar (SAR) image of ship target will be blurred for the
complex motion of the target, which will influence the performance of feature extraction and …

This paper is focused on high-resolution inverse synthetic aperture radar (ISAR) imaging
and motion estimation of maneuvering targets from compressively sampled echo data …

In this paper, a sparsity-driven method of micro-Doppler analysis is proposed for dynamic
hand gesture recognition with radar sensor. The sparse representation of the radar signal in …

In driver assistance or self-driving systems, millimeter-wave radar is an indispensable
sensing tool because of its applicability to all weather conditions or non-line-of-sight (NLOS) …

Deep neural networks have shown promise in the radar-based human activity analysis
application. Different from existing deep learning models that take either micro-Doppler …

Precession is a typical micromotion of a ballistic missile warhead in the middle of the
trajectory. The modulation of the narrow-band radar echo by the precession warhead is …

Dynamic hand gesture recognition is of great importance in human–computer interaction. In
this study, the authors investigate the effect of sparsity‐driven time–frequency analysis on …