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 …
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 …
[HTML][HTML] 基于稀疏恢复的雷达信号处理研究综述
全英汇， 吴耀君， 段丽宁， 徐刚， 薛敏， 刘智星， 邢孟道 - 雷达学报, 2024 - radars.ac.cn
随着雷达目标探测需求的增加, 基于压缩感知(CS) 模型的稀疏恢复(SR) 技术被广泛应用于雷达
信号处理领域. 该文首先对压缩感知的基本理论进行梳理; 接着从场景稀疏以及稀疏观测两个 …
信号处理领域. 该文首先对压缩感知的基本理论进行梳理; 接着从场景稀疏以及稀疏观测两个 …
Ground moving target refocusing in SAR imagery based on RFRT-FrFT
P Huang, XG Xia, Y Gao, X Liu, G Liao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, a new algorithm is presented to image ground moving targets in a synthetic
aperture radar (SAR) system based on range frequency reversal transform-fractional Fourier …
aperture radar (SAR) system based on range frequency reversal transform-fractional Fourier …
Two-step accuracy improvement of motion compensation for airborne SAR with ultrahigh resolution and wide swath
J Chen, B Liang, DG Yang, DJ Zhao… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
The motion compensation (MOCO) for the airborne SAR with ultrahigh resolution and wide
swath is required to consider the range-dependent (RD) phase error. The RD phase error …
swath is required to consider the range-dependent (RD) phase error. The RD phase error …
Image reconstruction for low-oversampled staggered SAR via HDM-FISTA
Z Liu, X Liao, J Wu - IEEE Transactions on Geoscience and …, 2021 - ieeexplore.ieee.org
Due to the unequispaced pulse repetition interval (PRI), the low-oversampling ratio and the
range-variant blockage, the echo of the low-oversampled staggered SAR (LS-SAR) is …
range-variant blockage, the echo of the low-oversampled staggered SAR (LS-SAR) is …
Gohberg-semencul factorization-based fast implementation of sparse Bayesian learning with a Fourier dictionary
F Dai, Y Wang, L Hong - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Sparse Bayesian learning (SBL) is a popular and robust algorithm for sparse signal
reconstruction (SSR). Unfortunately, the SBL algorithm suffers from heavy computational …
reconstruction (SSR). Unfortunately, the SBL algorithm suffers from heavy computational …
A novel approach to Doppler centroid and channel errors estimation in azimuth multi-channel SAR
Multi-channel synthetic aperture radar (SAR) in azimuth can overcome the minimum-
antenna-area constraint of the conventional SAR in high-resolution and wide-swath (HRWS) …
antenna-area constraint of the conventional SAR in high-resolution and wide-swath (HRWS) …
Dual-channel airborne SAR imaging of ground moving targets on perturbed platform
DM Wu, JF Kiang - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
A dual-channel airborne synthetic aperture radar (SAR) imaging approach is proposed to
acquire well-focused images of ground moving targets (GMTs) after compensating for the …
acquire well-focused images of ground moving targets (GMTs) after compensating for the …
Focusing improvement of curved trajectory spaceborne SAR based on optimal LRWC preprocessing and 2-D singular value decomposition
The curved trajectory can lead to severely 2-D spatial-variance in spaceborne synthetic
aperture radar (SAR). The azimuth-variance makes the traditional frequency domain …
aperture radar (SAR). The azimuth-variance makes the traditional frequency domain …