Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing
文献类型:期刊论文
作者 | Wang, Mingjiang1,2; Yu, Weidong1; Wang, Robert1; Guo, Lei1,2; Luo, Xiulian1,2 |
刊名 | Journal of applied remote sensing
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出版日期 | 2015-04-24 |
卷号 | 9页码:14 |
关键词 | Digital beamforming Synthetic aperture radar Compressed sensing Super resolution |
ISSN号 | 1931-3195 |
DOI | 10.1117/1.jrs.9.096060 |
通讯作者 | Wang, mingjiang(wangmingjiang.1987@163.com) |
英文摘要 | Digital beamforming synthetic aperture radar (sar) in elevation is a promising technique to realize the increasing requirements of high-resolution and wide-swath imaging in remote sensing, although it suffers from a dense sampling rate and heavy data volume. this poses serious challenges to onboard transmission and storage of satellites. additionally, the traditional beamforming technique suffers degraded imaging capacities caused by the incoherence between the received signals of different channels. to overcome these deficiencies, this paper proposes an improved method for the focusing of multichannel sar raw data based on the framework of compressed sensing (cs). through adaptive measurement matrix construction for each subchannel, the proposed approach can take the misregistration information of all received signals into account, providing an accurate imagery recovery of sparse reflectivity. compared with conventional processing, the suggested technique not only provides a more efficient data acquisition scheme for orbital configurations, but also carries the potential to eliminate the migration effects of imaging amplitude and resolution. furthermore, it is demonstrated that the proposed implementation is equipped with additional imaging benefits, such as superresolution and lower sidelobes. numerical and experimental results have validated these favorable performances of the suggested strategy. (c) 2015 society of photo-optical instrumentation engineers (spie) |
WOS关键词 | HIGH-RESOLUTION ; SAR ; SYSTEMS |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000356262800001 |
出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
URI标识 | http://www.irgrid.ac.cn/handle/1471x/2376750 |
专题 | 中国科学院大学 |
通讯作者 | Wang, Mingjiang |
作者单位 | 1.Chinese Acad Sci, Inst Elect, Dept Space Microwave Remote Sensing Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Mingjiang,Yu, Weidong,Wang, Robert,et al. Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing[J]. Journal of applied remote sensing,2015,9:14. |
APA | Wang, Mingjiang,Yu, Weidong,Wang, Robert,Guo, Lei,&Luo, Xiulian.(2015).Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing.Journal of applied remote sensing,9,14. |
MLA | Wang, Mingjiang,et al."Digital beamforming synthetic aperture radar imaging on received signals based on compressed sensing".Journal of applied remote sensing 9(2015):14. |
入库方式: iSwitch采集
来源:中国科学院大学
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