A review of sparse recovery algorithms
EC Marques, N Maciel, L Naviner, H Cai, J Yang - IEEE access, 2018 - ieeexplore.ieee.org
Nowadays, a large amount of information has to be transmitted or processed. This implies
high-power processing, large memory density, and increased energy consumption. In …
high-power processing, large memory density, and increased energy consumption. In …
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 …
AF-AMPNet: A deep learning approach for sparse aperture ISAR imaging and autofocusing
Inverse synthetic aperture radar (ISAR) imaging and autofocusing are challenging under
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain …
Sparse inverse synthetic aperture radar imaging using structured low-rank method
There has been an increasing interest in addressing the issue of high-resolution inverse
synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed …
synthetic aperture radar (ISAR) imaging from sparse sampling data. Traditional compressed …
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 …
SAR image reconstruction via incremental imaging with compressive sensing
For synthetic aperture radar (SAR) imaging, the irregular loss of received data and the
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …
[PDF][PDF] 面向不同雷达任务的认知波形优化综述
余若峰， 杨威， 付耀文， 张文鹏 - 电子学报, 2022 - ejournal.org.cn
传统雷达系统的发射机与接收机采用开环工作模式, 在动态复杂环境下探测目标时缺乏灵活性和
稳健性. 借鉴生物认知学习过程, 认知雷达可以感知动态环境和目标信息, 通过发射和接收端闭环 …
稳健性. 借鉴生物认知学习过程, 认知雷达可以感知动态环境和目标信息, 通过发射和接收端闭环 …
Ground moving target imaging based on compressive sensing framework with single-channel SAR
MS Kang, KT Kim - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Ground moving target imaging (GMTIm) is considered one of the most important applications
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
of synthetic aperture radar (SAR). Phase modulation from a moving target's higher-order …
[HTML][HTML] Sar image change detection via multiple-window processing with structural similarity
In this paper, a synthetic aperture radar (SAR) change detection approach is proposed
based on a structural similarity index measure (SSIM) and multiple-window processing …
based on a structural similarity index measure (SSIM) and multiple-window processing …
[HTML][HTML] High-resolution ISAR imaging and autofocusing via 2D-ADMM-Net
A deep-learning architecture, dubbed as the 2D-ADMM-Net (2D-ADN), is proposed in this
article. It provides effective high-resolution 2D inverse synthetic aperture radar (ISAR) …
article. It provides effective high-resolution 2D inverse synthetic aperture radar (ISAR) …