SAR imaging with noise waveform and low sampling rate based on sparse optimization
文献类型：会议论文
| 作者 | Dong, Xiao; Zhang, Yunhua ; Zhai, Wenshuai; Gu, Xiang; Shi, Xiaojin; Kang, Xueyan
|
| 出版日期 | 2016 |
| 会议名称 | 17th International Radar Symposium, IRS 2016 |
| 会议日期 | May 10, 2016 - May 12, 2016 |
| 会议地点 | Krakow, Poland |
| 英文摘要 | 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. |
| 收录类别 | EI |
| 会议录 | Proceedings International Radar Symposium
 |
| 会议录出版者 | IEEE Computer Society |
| 语种 | 英语 |
| ISSN号 | 2155-5753 |
| ISBN号 | 9781509025183 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/5555]  |
| 专题 | 国家空间科学中心_空间环境部 |
| 推荐引用方式 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]. 见:17th International Radar Symposium, IRS 2016. Krakow, Poland. May 10, 2016 - May 12, 2016. |
入库方式： OAI收割
来源：国家空间科学中心
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