High-resolution ISAR imaging and motion compensation with 2-D joint sparse reconstruction
S Shao, L Zhang, H Liu - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
With regard to the multifunction radar transmitting sparse stepped-frequency-modulation
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …
(SSFM) signal for inverse synthetic aperture radar (ISAR) imaging, the received echo signal …
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 …
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 …
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 …
FMCW SAR sparse imaging based on approximated observation: An overview on current technologies
Sparsity-driven synthetic aperture radar (SAR) imaging technique for frequency modulation
continuous wave (FMCW) has already shown the superiority in terms of performance …
continuous wave (FMCW) has already shown the superiority in terms of performance …
Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing
The theory of compressed sampling (CS) indicates that exact recovery of an unknown
sparse signal can be achieved from very limited samples. For inversed synthetic aperture …
sparse signal can be achieved from very limited samples. For inversed synthetic aperture …
Sparsity-driven ISAR imaging based on two-dimensional ADMM
HR Hashempour - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Compressed sensing (CS) can achieve high resolution inverse synthetic aperture radar
(ISAR) imaging of moving targets with limited measurements. Recently, alternating direction …
(ISAR) imaging of moving targets with limited measurements. Recently, alternating direction …
Computationally efficient sparse aperture ISAR autofocusing and imaging based on fast ADMM
S Zhang, Y Liu, X Li - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
In the case of sparse aperture, the coherence between pulses of radar echo is destroyed,
which challenges inverse synthetic aperture radar (ISAR) autofocusing and imaging …
which challenges inverse synthetic aperture radar (ISAR) autofocusing and imaging …
Measurement matrix optimization for ISAR sparse imaging based on genetic algorithm
YJ Chen, Q Zhang, Y Luo… - IEEE Geoscience and …, 2016 - ieeexplore.ieee.org
Inverse synthetic aperture radar sparse imaging based on compressive sensing has been
widely researched. The measurement matrix significantly affects the performance of target …
widely researched. The measurement matrix significantly affects the performance of target …
Sparse aperture ISAR imaging method based on joint constraints of sparsity and low rank
C Zeng, W Zhu, X Jia, L Yang - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A new inverse synthetic aperture radar (ISAR) imaging framework is proposed to obtain high
cross-range resolution under sparse aperture conditions, which is a challenge when the …
cross-range resolution under sparse aperture conditions, which is a challenge when the …