Compressive sensing in electromagnetics-a review
Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …
an effective solution within the compressive sensing (CS) framework. This has motivated a …
Sparse microwave imaging: Principles and applications
BC Zhang, W Hong, YR Wu - Science China Information Sciences, 2012 - Springer
This paper provides principles and applications of the sparse microwave imaging theory and
technology. Synthetic aperture radar (SAR) is an important method of modern remote …
technology. Synthetic aperture radar (SAR) is an important method of modern remote …
Superresolution ISAR imaging based on sparse Bayesian learning
H Liu, B Jiu, H Liu, Z Bao - IEEE Transactions on Geoscience …, 2013 - ieeexplore.ieee.org
Recently, compressive sensing (CS) has been successfully used in inverse synthetic
aperture radar (ISAR) imaging. Since the exact sparse reconstruction, ie, l 0-norm constraint …
aperture radar (ISAR) imaging. Since the exact sparse reconstruction, ie, l 0-norm constraint …
Jointly using low-rank and sparsity priors for sparse inverse synthetic aperture radar imaging
W Qiu, J Zhou, Q Fu - IEEE Transactions on Image Processing, 2019 - ieeexplore.ieee.org
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with
sparse sampling data has attracted wide attention due to its ability to reduce the data …
sparse sampling data has attracted wide attention due to its ability to reduce the data …
Enhanced ISAR imaging by exploiting the continuity of the target scene
This paper presents a novel inverse synthetic aperture radar (ISAR) imaging method by
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced …
exploiting the inherent continuity of the scatterers on the target scene to obtain enhanced …
Inverse synthetic aperture radar imaging: A historical perspective and state-of-the-art survey
R Vehmas, N Neuberger - IEEE Access, 2021 - ieeexplore.ieee.org
Radar can obtain high spatial resolution at large operating distances, and its operation is
largely independent from weather and lighting conditions. This makes it an important …
largely independent from weather and lighting conditions. This makes it an important …
Compressed sensing radar imaging: Fundamentals, challenges, and advances
J Yang, T Jin, C Xiao, X Huang - Sensors, 2019 - mdpi.com
In recent years, sparsity-driven regularization and compressed sensing (CS)-based radar
imaging methods have attracted significant attention. This paper provides an introduction to …
imaging methods have attracted significant attention. This paper provides an introduction to …
The race to improve radar imagery: An overview of recent progress in statistical sparsity-based techniques
The exploitation of sparsity has significantly advanced the field of radar imaging over the last
few decades, leading to substantial improvements in the resolution and quality of the …
few decades, leading to substantial improvements in the resolution and quality of the …
Compressive sensing–based algorithm for passive bistatic ISAR with DVB-T signals
Inverse synthetic aperture radar (ISAR) images can be obtained using digital video
broadcasting-terrestrial (DVB-T)-based passive radars. However, television broadcast …
broadcasting-terrestrial (DVB-T)-based passive radars. However, television broadcast …
Compressive sensing‐based inverse synthetic radar imaging imaging from incomplete data
The applicability of compressive sensing (CS) to radar imaging has been recently proven
and its capability to construct reliable radar images from a limited set of measurements …
and its capability to construct reliable radar images from a limited set of measurements …