压缩感知理论在频率步进探地雷达偏移成像中的应用

屈乐乐; 方广有; 杨天虹

doi:10.3724/SP.J.1146.2009.01528

压缩感知理论在频率步进探地雷达偏移成像中的应用

doi: 10.3724/SP.J.1146.2009.01528

屈乐乐^{*① 方广有,},
方广有,
杨天虹

基金项目:

国家863计划项目(2007AA12Z124)资助课题

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出版历程
- 收稿日期: 2009-12-01
- 修回日期: 2010-09-09
- 刊出日期: 2011-01-19

The Application of Compressed Sensing to Stepped-frequency Ground Penetrating Radar Migration Imaging

Qu Le-Le^{*① 方广有
,},
Fang Guang-You,
Yang Tian-Hong

摘要

摘要: 该文针对频率步进探地雷达的具体工作过程，利用目标成像空间的稀疏性提出了一种基于压缩感知理论的频率步进探地雷达偏移成像算法，成像过程中首先采用杂波抑制方法在频率域去除直达波，同时利用交叉验证算法来估计成像过程中的正则化参数，最后基于稀疏约束最优化方法实现对地下目标成像，仿真和实验数据表明了该算法的可行性和有效性。
- 探地雷达 /
- 压缩感知 /
- 频率步进 /
- 稀疏性
Abstract: With the sparistiy of the target space, a novel migration imaging algorithm for the stepped-frequency GPR based on compressive sensing is proposed in this paper. The new imaging algorithm removes the direct wave in frequency domain in advance, estimates the regulation parameter with cross validation algorithm, and images the subsurface with sparistiy constraint. The simulation and experimental data show that the new imaging algorithm is effective and practical.
- Ground Penetrating Radar (GPR) /
- Compressive Sensing (CS) /
- Stepped frequency /
- Sparsity

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参考文献(1)

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