Development and demonstration of MIMO-SAR mmWave imaging testbeds
Multiple-input multiple-output (MIMO) radars and synthetic aperture radar (SAR) techniques
are well researched and have been effectively combined for many imaging applications …
are well researched and have been effectively combined for many imaging applications …
RMIST-Net: Joint range migration and sparse reconstruction network for 3-D mmW imaging
Compressed sensing (CS) demonstrates significant potential to improve image quality in 3-
D millimeter-wave imaging compared with conventional matched filtering (MF). However …
D millimeter-wave imaging compared with conventional matched filtering (MF). However …
Mask does not matter: Anti-spoofing face authentication using mmWave without on-site registration
W Xu, W Song, J Liu, Y Liu, X Cui, Y Zheng… - Proceedings of the 28th …, 2022 - dl.acm.org
Face authentication (FA) schemes are universally adopted. However, current FA systems
are mainly camera-based and hence susceptible to face occlusion (eg, facial masks) and …
are mainly camera-based and hence susceptible to face occlusion (eg, facial masks) and …
Efficient 3-D near-field MIMO-SAR imaging for irregular scanning geometries
In this article, we introduce a novel algorithm for efficient near-field synthetic aperture radar
(SAR) imaging for irregular scanning geometries. With the emergence of fifth-generation …
(SAR) imaging for irregular scanning geometries. With the emergence of fifth-generation …
[HTML][HTML] Skeleton-based human pose recognition using channel state information: A survey
Z Wang, M Ma, X Feng, X Li, F Liu, Y Guo, D Chen - Sensors, 2022 - mdpi.com
With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …
behavior recognition with device-free patterns has attracted extensive attention. The …
Improved static hand gesture classification on deep convolutional neural networks using novel sterile training technique
In this paper, we investigate novel data collection and training techniques towards improving
classification accuracy of non-moving (static) hand gestures using a convolutional neural …
classification accuracy of non-moving (static) hand gestures using a convolutional neural …
Fast processing approach for near-field terahertz imaging with linear sparse periodic array
The benefits of terahertz (THz) radiation have increased its use, especially in imaging
systems. Recently, the use of a linear sparse periodic array (SPA) has been proposed as an …
systems. Recently, the use of a linear sparse periodic array (SPA) has been proposed as an …
CSR-Net: A novel complex-valued network for fast and precise 3-D microwave sparse reconstruction
Since the compressed sensing (CS) theory broke through the limitation of the traditional
Nyquist sampling theory, it has attracted extensive attention in the field of microwave …
Nyquist sampling theory, it has attracted extensive attention in the field of microwave …
Squigglemilli: Approximating sar imaging on mobile millimeter-wave devices
This paper proposes SquiggleMilli, a system that approximates traditional Synthetic Aperture
Radar (SAR) imaging on mobile millimeter-wave (mmWave) devices. The system is capable …
Radar (SAR) imaging on mobile millimeter-wave (mmWave) devices. The system is capable …
Efficient ADMM framework based on functional measurement model for mmW 3-D SAR imaging
Compressed sensing (CS) shows significant potential in the field of active millimeter-wave
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …
(mmW) synthetic aperture radar (SAR) imaging due to the merits of reducing system …