| 用于多层介质目标成像的改进波数域算法 |
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| 引用本文： | 郑海涛,李世勇,DOJames,孙厚军,刘晓光.用于多层介质目标成像的改进波数域算法[J].红外与毫米波学报,2020,39(3):381-387. |
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| 作者姓名： | 郑海涛 李世勇 DOJames 孙厚军 刘晓光 |
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| 作者单位： | 北京理工大学信息与电子学院,北京 100081;加州大学戴维斯分校电子与计算机工程,戴维斯,加州 95616,美国 |
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| 基金项目： | Supported in part by Elrha’s Humanitarian Innovation Fund programme,in part by the National Natural Science Foundation of China 61771049;This work is also under support of the Beijing Key Laboratory of Millimeter Wave and Terahertz TechnologySupported in part by Elrha’s Humanitarian Innovation Fund programme，in part by the National Natural Science Foundation of China（61771049）. This work is also under support of the Beijing Key Laboratory of Millimeter Wave and Terahertz Technology. |
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| 摘 要： | 近年来，获取高分辨探地雷达图像以实现目标检测受到广泛关注。相位偏移补偿算法（PSM）可以针对不同介电常数的多层介质成像，在各领域应用广泛。受距离维像素循环计算过程影响，PSM成像速度慢。基于PSM相关理论基础，提出改进波数域的多层介质快速成像算法，在每个独立介质层中，通过快速傅里叶运算取代PSM算法中的像素迭代过程，可以有效降低成像时间。针对双层介质模型，提出基于目标顶点区域提取的波速估计方法，用于精确补偿相位成像。通过搭建双层介质实验平台，利用该算法获得了多种被埋目标高分辨图像，验证了算法的有效性。
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| 关 键 词： | 探地雷达 相位偏移补偿算法 改进波数域算法 速度估计 |
| 收稿时间： | 2019/2/25 0:00:00 |
| 修稿时间： | 2020/4/21 0:00:00 |
Extended Omega-k algorithm for synthetic aperture radar imaging in multi-layer medium |
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| ZHENG Hai-Tao,LI Shi-Yong,DO. James,SUN Hou-Jun and LIU Xiao-Guang.Extended Omega-k algorithm for synthetic aperture radar imaging in multi-layer medium[J].Journal of Infrared and Millimeter Waves,2020,39(3):381-387. |
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| Authors: | ZHENG Hai-Tao LI Shi-Yong DO James SUN Hou-Jun and LIU Xiao-Guang |
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| Affiliation: | Dept. of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China,Dept. of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China,Dept. of Electrical and Computer Engineering, University of California, Davis, CA, 95616, United States,Dept. of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China,Dept. of Electrical and Computer Engineering, University of California, Davis, CA, 95616, United States |
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| Abstract: | Processing ground penetrating radar data to obtain well-focused images for object detection has been an active research area. Phase-shift migration (PSM) is a widely used method since it allows the wave velocity to vary with respect to multi-layer medium. However, this requires pixel-by-pixel calculation of the image, which is time-consuming. This paper presents an extended Omega-k algorithm for multi-layer medium imaging with significantly less computation complexity than the PSM algorithm. The extended Omega-k exploits fast interpolation in the wave-number domain instead of iterative calculating as done by PSM. The method of estimating the wave propagation velocity in different media is also proposed via vertex region extraction for phase compensation and image focusing. Various images of buried targets of a two-layer medium experiment are obtained, which validate the effectiveness of the proposed algorithm, and make it practical for some typical ground-based surveillance applications. |
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| Keywords: | ground-penetrating radar phase migration extended Omega-k velocity estimation |
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