Abstract
A novel 2D imaging algorithm is presented for stepped-frequency radar imaging systems. By solving an optimization problem which enforces targets sparsity, a 2D image with better resolutions can be obtained by using the undersampled data through 2D - SL0 minimization algorithm. This method can greatly reduce the data amount at both frequencies and rotation angles. Imaging results from both simulated and experimental exhibit the increased performance on resolutions comparing to the traditional 2D-FFT method.
Original language | English |
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Title of host publication | 2015 Asia-Pacific Microwave Conference, APMC 2015 - Proceedings |
Editors | Fan Meng, Wei Hong, Xiao-Wei Zhu, Guang-Qi Yang, Zhe Song |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781479987658 |
DOIs | |
Publication status | Published - 18 Feb 2016 |
Event | Asia-Pacific Microwave Conference, APMC 2015 - Nanjing, China Duration: 6 Dec 2015 → 9 Dec 2015 |
Publication series
Name | Asia-Pacific Microwave Conference Proceedings, APMC |
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Volume | 2 |
Conference
Conference | Asia-Pacific Microwave Conference, APMC 2015 |
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Country/Territory | China |
City | Nanjing |
Period | 6/12/15 → 9/12/15 |
Keywords
- 2D - SL minimization
- Compressive sensing
- Radar 2D Imaging
- Undersampled data
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Zheng, H., Li, S., Zhao, G., Cheng, H., & Sun, H. (2016). High resolution radar imaging with undersampled data. In F. Meng, W. Hong, X.-W. Zhu, G.-Q. Yang, & Z. Song (Eds.), 2015 Asia-Pacific Microwave Conference, APMC 2015 - Proceedings Article 7413077 (Asia-Pacific Microwave Conference Proceedings, APMC; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APMC.2015.7413077