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地基电弧合成孔径雷达的频域全景成像算法

Frequency Domain Panoramic Imaging Algorithm for Ground-Based ArcSAR.

作者信息

Lin Yun, Liu Yutong, Wang Yanping, Ye Shengbo, Zhang Yuan, Li Yang, Li Wei, Qu Hongquan, Hong Wen

机构信息

School of Information Science and Technology, North China University of Technology, Beijing 100144, China.

Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Sensors (Basel). 2020 Dec 8;20(24):7027. doi: 10.3390/s20247027.

DOI:10.3390/s20247027
PMID:33302480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7764108/
Abstract

The ground-based arc-scanning synthetic aperture radar (ArcSAR) is capable of 360° scanning of the surroundings with the antenna fixed on a rotating arm. ArcSAR has much wider field of view when compared with conventional ground-based synthetic aperture radar (GBSAR) scanning on a linear rail. It has already been used in deformation monitoring applications. This paper mainly focuses on the accurate and fast imaging algorithms for ArcSAR. The curvature track makes the image focusing challenging and, in the classical frequency domain, fast imaging algorithms that are designed for linear rail SAR cannot be readily applied. This paper proposed an efficient frequency domain imaging algorithm for ArcSAR. The proposed algorithm takes advantage of the angular shift-invariant property of the ArcSAR signal, and it deduces the accurate matched filter in the angular-frequency domain, so panoramic images in polar coordinates with wide swath can be obtained at one time without segmenting strategy. When compared with existing ArcSAR frequency domain algorithms, the proposed algorithm is more accurate and efficient, because it has neither far range nor narrow beam antenna restrictions. The proposed method is validated by both simulation and real data. The results show that our algorithm brings the quality of image close to the time domain back-projection (BP) algorithm at a processing efficiency about two orders of magnitude better, and it has better image quality than the existing frequency domain Lee's algorithm at a comparable processing speed.

摘要

地基弧形扫描合成孔径雷达（ArcSAR）能够在天线固定在旋转臂上的情况下对周围环境进行360°扫描。与在直线导轨上进行的传统地基合成孔径雷达（GBSAR）扫描相比，ArcSAR具有更宽的视野。它已被用于变形监测应用中。本文主要关注ArcSAR的精确快速成像算法。曲率轨迹使得图像聚焦具有挑战性，并且在经典频域中，为直线导轨SAR设计的快速成像算法不能直接应用。本文提出了一种针对ArcSAR的高效频域成像算法。该算法利用了ArcSAR信号的角移不变特性，在角频率域中推导了精确的匹配滤波器，从而可以一次性获得宽测绘带极坐标下的全景图像，无需分段策略。与现有的ArcSAR频域算法相比，该算法更精确高效，因为它既没有远距限制也没有窄波束天线限制。通过仿真和实际数据验证了该方法。结果表明，我们的算法在处理效率提高约两个数量级的情况下，使图像质量接近时域反向投影（BP）算法，并且在可比的处理速度下，其图像质量优于现有的频域Lee算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/be4436f154cf/sensors-20-07027-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/5b8ee6731178/sensors-20-07027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/cbb3cb60f2c2/sensors-20-07027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/0d04ea1b7d4c/sensors-20-07027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/310d96973b28/sensors-20-07027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/a4d24351611a/sensors-20-07027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/8d6bfc8eba97/sensors-20-07027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/f67a46850c29/sensors-20-07027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/4a7012ce4b24/sensors-20-07027-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/0ebd312d7c56/sensors-20-07027-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/d2da73060972/sensors-20-07027-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/10e8285920fd/sensors-20-07027-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/be4436f154cf/sensors-20-07027-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/5b8ee6731178/sensors-20-07027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/cbb3cb60f2c2/sensors-20-07027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/0d04ea1b7d4c/sensors-20-07027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/310d96973b28/sensors-20-07027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/a4d24351611a/sensors-20-07027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/8d6bfc8eba97/sensors-20-07027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/f67a46850c29/sensors-20-07027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/4a7012ce4b24/sensors-20-07027-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/0ebd312d7c56/sensors-20-07027-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/d2da73060972/sensors-20-07027-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/10e8285920fd/sensors-20-07027-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8008/7764108/be4436f154cf/sensors-20-07027-g012.jpg

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本文引用的文献

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3D laser scanning in conjunction with surface texturing to evaluate shift and reduction of the tibiofemoral contact area after meniscectomy.三维激光扫描联合表面纹理分析评估半月板切除术后胫股接触面积的改变和（关节）复位不良。
J Mech Behav Biomed Mater. 2018 Dec;88:41-47. doi: 10.1016/j.jmbbm.2018.08.007. Epub 2018 Aug 9.