Towards real‐time through‐obstacle imaging based on compressed sensing for sparse objects
Towards real‐time through‐obstacle imaging based on compressed sensing for sparse objects
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DOI：
10.1049/iet-map.2019.0238
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发表时间：
2019-06
期刊：
影响因子：
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通讯作者：
Tianyi Zhou;Fazhong Shen;Q. Meng;Huan Li;Kuiwen Xu;Dexin Ye;J. Huangfu;S. Dong;T. Denidni;L. Ran
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文献类型：
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作者：
Tianyi Zhou;Fazhong Shen;Q. Meng;Huan Li;Kuiwen Xu;Dexin Ye;J. Huangfu;S. Dong;T. Denidni;L. Ran
虽然在微波成像方面取得了重大进展，但实时成像，特别是对墙后物体或封闭障碍物的实时成像，仍然是一项技术挑战。在这项工作中，实验证明了被封闭障碍物包围的复杂结构物体的高效成像。基于逆散射问题和压缩感知的概念，推导出成像方程。利用目标和障碍物的空间稀疏性，可以使用具有减少的发射天线的时分多天线设置来实现压缩成像。由于空间压缩感知应用于稀疏成像区域和对象，成像时间可以减少两个数量级相比，传统的基于双重子空间的优化方法具有相当的成像质量。利用整个成像区域的稀疏性，也可以重建具有较大相对介电常数的对象。所提出的方法可以潜在地用于通过盒子的安全检查等应用。为解决现有微波成像系统面临的实用化难题提供了新的思路。
Although significant progress has been made in microwave imaging, real-time imaging, especially for objects behind walls or closed obstacles, remains a technical challenge. In this work, highly efficient imaging for complex-structured objects surrounded by a closed obstacle was experimentally demonstrated. The imaging equations are derived based on a combination of the inverse-scattering problem and the concept of compressed sensing. Making use of the spatial sparsity of objects and obstacles, the compressed imaging can be implemented using a time-division multi-antenna setup with reduced transmitting antennas. Owing to the spatial compressed sensing applied to the sparse imaging region and objects, the imaging time can be reduced by two orders of magnitude compared with the conventional twofold subspace-based optimisation method with a comparable imaging quality. Taking advantage of the sparsity of the entire imaging area, objects with larger relative permittivity can also be reconstructed. The proposed method can be potentially used in applications such as security examination through boxes. It also provides a new clue for solving the practicability difficulty faced by existing microwave imaging systems.