| SAR imaging with noise waveform and low sampling rate based on sparse optimization | |
Dong, Xiao; Zhang, Yunhua ; Zhai, Wenshuai; Gu, Xiang; Shi, Xiaojin; Kang, Xueyan
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| Department | 空间环境部 |
| Source Publication | Proceedings International Radar Symposium |
| 2016 | |
| Language | 英语 |
| ISSN | 2155-5753 |
| ISBN | 9781509025183 |
| Abstract | In this paper, we apply sparse optimization method to synthetic aperture radar (SAR) imaging on the airborne data of a Ku-band SAR using noise waveforms. The SAR system transmits chaotic pulse waveforms at three carrier frequencies (13.7GHz, 13.9GHz and 14.1GHz). Each frequency channel has a same bandwidth of 220MHz and the total bandwidth covered by the three channels is 620MHz. According to the compressed sensing (CS) theory and the randomness property of noise signal, we can uniformly down sample the echo data with a rate below the Nyquist sampling rate. Effects of low-rate sampling on noise radar imaging are discussed with simulated 1-D data presented. The reconstruction of SAR image from low-rate samples is based on our recently proposed maximum a posterior (MAP) estimation method, which is developed from the sparse optimization techniques in CS. Experimental results are presented to show the effectiveness of our algorithm. © 2016 IEEE. |
| Conference Name | 17th International Radar Symposium, IRS 2016 |
| Conference Date | May 10, 2016 - May 12, 2016 |
| Conference Place | Krakow, Poland |
| Indexed By | EI |
| Document Type | 会议论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/5555 |
| Collection | 空间环境部 |
| Recommended Citation GB/T 7714 | Dong, Xiao,Zhang, Yunhua,Zhai, Wenshuai,et al. SAR imaging with noise waveform and low sampling rate based on sparse optimization[C]:IEEE Computer Society,2016. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 201607497331.pdf（891KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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