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压缩感知理论在探地雷达三维成像中的应用
引用本文:余慧敏, 方广有. 压缩感知理论在探地雷达三维成像中的应用[J]. 电子与信息学报, 2010, 32(1): 12-16. doi: DOI: 10.3724/SP.J.1146.2009.00040
作者姓名:余慧敏  方广有
作者单位:1. 中国科学院电子学研究所,北京,100190;中国科学院研究生院,北京,100190
2. 中国科学院电子学研究所,北京,100190
基金项目:国家高技术研究发展计划项目(2007AA12Z100);;国家自然科学基金(60551002)资助课题
摘    要:该文基于探地雷达成像目标空间的稀疏特性,提出了探地雷达中的随机孔径压缩感知3维成像方法,该方法在单道数据获取中应用压缩感知减少采集数据量的同时,在x-y测量平面上随机抽取部分孔径位置进行测量,以少量的测量孔径和测量数据获得重建目标空间的足够信息,同时该文研究了噪声以及测量矩阵对算法性能的影响。结果表明,随机孔径压缩感知成像算法比传统后向投影算法所需数据量少,成像效果好,目标旁瓣小,对噪声的鲁棒性更好。

关 键 词:探地雷达   随机孔径   压缩感知   测量矩阵
收稿时间:2009-01-12
修稿时间:2009-04-15

Research on Compressive Sensing Based 3D Imaging Method Applied to Ground Penetrating Radar
Yu Hui-min, Fang Guang-you. Research on Compressive Sensing Based 3D Imaging Method Applied to Ground Penetrating Radar[J]. Journal of Electronics & Information Technology, 2010, 32(1): 12-16. doi: DOI: 10.3724/SP.J.1146.2009.00040
Authors:Yu Hui-min  Fang Guang-you
Affiliation:Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; Graduate School of the Chinese Academy of Sciences, Beijing 100190, China
Abstract:Considering the sparse structure of actual target space in GPR application, a novel 3D imaging method based on random aperture compressive sensing is proposed in this paper, which capable of reconstructing the target space from a few compressive sensing data obtained by random aperture measurements, and the imaging performance versus noise level and the effects of different measurement matrices are analyzed. The computer simulation results indicate that the proposed algorithm allow much fewer data, much shorter measurement time. And due to it is fully utilization of the sparse structure of interested target space, the method show much more robust and sparse image than time-domain standard back-projection method.
Keywords:GPR  Random aperture  Compressive sensing  Measurement matrix
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