A systematic review of compressive sensing: Concepts, implementations and applications
M Rani, SB Dhok, RB Deshmukh - IEEE access, 2018 - ieeexplore.ieee.org
Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …
acquired at the time of sensing. Signals can have sparse or compressible representation …
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 …
An efficient radio frequency interference mitigation algorithm in real synthetic aperture radar data
As a wideband radar system, a synthetic aperture radar (SAR) may conflict with several
electromagnetic systems, such as frequency modulation (FM), TV, and other communication …
electromagnetic systems, such as frequency modulation (FM), TV, and other communication …
Single-pixel computational ghost imaging with helicity-dependent metasurface hologram
Different optical imaging techniques are based on different characteristics of light. By
controlling the abrupt phase discontinuities with different polarized incident light, a …
controlling the abrupt phase discontinuities with different polarized incident light, 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 …
High-resolution ISAR imaging with sparse stepped-frequency waveforms
From the theory of compressive sensing (CS), we know that the exact recovery of an
unknown sparse signal can be achieved from limited measurements by solving a sparsity …
unknown sparse signal can be achieved from limited measurements by solving a sparsity …
An autofocus technique for high-resolution inverse synthetic aperture radar imagery
For inverse synthetic aperture radar imagery, the inherent sparsity of the scatterers in the
range-Doppler domain has been exploited to achieve a high-resolution range profile or …
range-Doppler domain has been exploited to achieve a high-resolution range profile or …
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 …
[HTML][HTML] 合成孔径雷达抗干扰技术综述
黄岩， 赵博， 陶明亮， 陈展野， 洪伟 - 雷达学报, 2020 - radars.ac.cn
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