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 …
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 …
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 …
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 …
Lightweight FISTA-inspired sparse reconstruction network for mmW 3-D holography
Integrating compressed sensing (CS) with millimeter-wave (mmW) holography has shown
great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed …
great potential to achieve lightweight onboard hardware, low sampling ratio, and high-speed …
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 …
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 …
3-D SAR Imaging via Perceptual Learning Framework With Adaptive Sparse Prior
Mathematically, 3-D synthetic aperture radar (SAR) imaging is a typical inverse problem,
which, by nature, can be solved by applying the theory of sparse signal recovery. However …
which, by nature, can be solved by applying the theory of sparse signal recovery. However …
Compressed sensing‐based imaging of millimeter‐wave ISAR data
High‐resolution radar imaging requires wide bandwidths and highly dense samplings of
both time/frequency and spatial domains. However, the rapidly developing field of …
both time/frequency and spatial domains. However, the rapidly developing field of …
Near-field MIMO-ISAR millimeter-wave imaging
Multiple-input-multiple-output (MIMO) millimeterwave (mmWave) sensors for synthetic
aperture radar (SAR) and inverse SAR (ISAR) address the fundamental challenges of cost …
aperture radar (SAR) and inverse SAR (ISAR) address the fundamental challenges of cost …