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 …
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 …
Three-dimensional sparse turntable microwave imaging based on compressive sensing
W Qiu, J Zhou, H Zhao, Q Fu - IEEE Geoscience and Remote …, 2014 - ieeexplore.ieee.org
In this letter, we propose a fast reconstruction algorithm for 3-D turntable microwave imaging
from sparse measurements. A conventional Fourier-transform-based 3-D microwave …
from sparse measurements. A conventional Fourier-transform-based 3-D microwave …
Learning-based split unfolding framework for 3-D mmW radar sparse imaging
The application of the compressed sensing (CS) method in the radar field enables the radar
imaging system to satisfy both low data cost and high reconstruction quality; however, it is …
imaging system to satisfy both low data cost and high reconstruction quality; however, it is …
MDLI-Net: Model-driven learning imaging network for high-resolution microwave imaging with large rotating angle and sparse sampling
Microwave imaging with large rotating angle and sparse sampling is an attractive approach
to obtain the high-resolution target image with reduced radar resource. However, the …
to obtain the high-resolution target image with reduced radar resource. However, the …
SAF-3DNet: Unsupervised AMP-inspired network for 3-D MMW SAR imaging and autofocusing
Z Zhou, S Wei, H Zhang, R Shen… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The sparse imaging method based on compressed sensing (CS) is widely used in the field
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
of millimeter-wave (MMW) synthetic aperture radar (SAR) imaging. However, 3-D sparse …
Multifrequency compressed sensing for 2-D near-field synthetic aperture radar image reconstruction
D Bi, Y Xie, L Ma, X Li, X Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper investigates a new multifrequency compressed sensing (CS) model for 2-D near-
field microwave and millimeter-wave synthetic aperture radar (SAR) imaging system, which …
field microwave and millimeter-wave synthetic aperture radar (SAR) imaging system, which …
3-D SAR data-driven imaging via learned low-rank and sparse priors
In the research topic of three-dimensional (3-D) synthetic aperture radar (SAR) imaging, the
sparsity-enforcing techniques offer promise in shortening the sensing time and improving …
sparsity-enforcing techniques offer promise in shortening the sensing time and improving …
Signal processing for microwave array imaging: TDC and sparse recovery
S Jun, Z Xiaoling, X Gao… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Unlike 1-D and 2-D microwave images, 3-D microwave image behaves typical sparsity.
Consequently, sparse recovery technique can be used for 3-D microwave signal processing …
Consequently, sparse recovery technique can be used for 3-D microwave signal processing …
Structured low-rank and sparse method for ISAR imaging with 2-D compressive sampling
With the development of modern advanced radar, there are high demands to perform
inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and …
inverse synthetic aperture radar (ISAR) imaging from sparse frequency band (SFB) and …