Title | ||
---|---|---|
Fast 3-D Imaging Algorithm Based on Unitary Transformation and Real-Valued Sparse Representation for MIMO Array SAR |
Abstract | ||
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Multiple-input multiple-output (MIMO) array synthetic aperture radar (SAR) with array antennas distributed along the cross-track direction can obtain 3-D scene information of the surveillance region. However, the cross-track resolution is unacceptable due to the length limitation of the MIMO antenna array. The superresolution algorithms within the framework of compressive sensing (CS) have been in... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TGRS.2019.2910553 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,MIMO communication,Linear antenna arrays,Imaging,Image resolution,Computational modeling | Computer vision,Synthetic aperture radar,CPU time,Sparse approximation,Unitary transformation,Algorithm,MIMO,Robustness (computer science),Artificial intelligence,Mathematics,Compressed sensing,Computational complexity theory | Journal |
Volume | Issue | ISSN |
57 | 9 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunxiao Wu | 1 | 0 | 0.34 |
Zenghui Zhang | 2 | 50 | 10.29 |
Xingdong Liang | 3 | 0 | 0.68 |
Longyong Chen | 4 | 45 | 7.11 |
Wenxian Yu | 5 | 44 | 13.56 |
Trieu-Kien Truong | 6 | 23 | 6.95 |