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基于涡旋电磁波的高速机动目标逆合成孔径雷达成像

Vortex-electromagnetic-wave-based ISAR imaging for high-speed maneuvering targets.

作者信息

Bu Lijun, Zhu Yongzhong, Chen Yijun, Yang Yufei, Zang Yadan

机构信息

College of Information Engineering, Engineering University of PAP, Xi'an, 710086, China.

出版信息

Sci Rep. 2022 Oct 26;12(1):18009. doi: 10.1038/s41598-022-22185-1.

DOI:10.1038/s41598-022-22185-1
PMID:36289239
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9605984/
Abstract

Vortex electromagnetic wave (VEMW) carrying orbital angular momentum (OAM), which is expected to introduce additional degrees of freedom in inverse synthetic aperture radar(ISAR) imaging. However, the current research about maneuvering targets is based on the "stop go" hypothesis, which does not apply to high-speed motion scenarios due to the intrapulse movement of the target. To improve the imaging quality, this letter proposes a VEMW-based high-speed maneuvering targets imaging method. Firstly, the ISAR imaging scenario of high-speed target is established. According to the spatial geometric relationship between radar and maneuvering target, the vortex echo is deduced and its characteristics are analyzed. Subsequently, a frequency modulation rate estimation method considering both calculation efficiency and high precision is proposed to realize the accurate estimation of target speed. Then, an adaptive azimuth image compensation method based on minimum entropy is proposed. Through the setting of threshold, the number of component signals in linear frequency modulation (LFM) signal is determined and compensated successively. Finally, the range profile and azimuth profile are combined to reconstruct the three-dimensional information. The simulation results demonstrate that this work can effectively eliminate the influence of high-speed motion on range and azimuth profile, also benefit the development of ISAR imaging technique of high-speed maneuvering targets.

摘要

携带轨道角动量（OAM）的涡旋电磁波（VEMW）有望在逆合成孔径雷达（ISAR）成像中引入额外的自由度。然而，目前关于机动目标的研究基于“停走”假设，由于目标的脉冲内运动，该假设不适用于高速运动场景。为了提高成像质量，本文提出一种基于VEMW的高速机动目标成像方法。首先，建立高速目标的ISAR成像场景。根据雷达与机动目标之间的空间几何关系，推导涡旋回波并分析其特性。随后，提出一种兼顾计算效率和高精度的调频率估计方法，以实现对目标速度的精确估计。然后，提出一种基于最小熵的自适应方位图像补偿方法。通过设置阈值，确定线性调频（LFM）信号中的分量信号数量并依次进行补偿。最后，将距离像和方位像相结合以重建三维信息。仿真结果表明，该方法能够有效消除高速运动对距离像和方位像的影响，也有利于高速机动目标ISAR成像技术的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/bbbbaec32469/41598_2022_22185_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/72797d70ea05/41598_2022_22185_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/45f00f8ee7c8/41598_2022_22185_Fig2_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/d4cc7c81ed04/41598_2022_22185_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/fb484d06353a/41598_2022_22185_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/615e59f688d6/41598_2022_22185_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/fe9981f4ec5b/41598_2022_22185_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/4a2b943b39f5/41598_2022_22185_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/767bf7be2268/41598_2022_22185_Fig10_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/6a9e4409a873/41598_2022_22185_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/bbbbaec32469/41598_2022_22185_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/72797d70ea05/41598_2022_22185_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/45f00f8ee7c8/41598_2022_22185_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/1ce7410c2a93/41598_2022_22185_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/7d4086f4bb5c/41598_2022_22185_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/d4cc7c81ed04/41598_2022_22185_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/fb484d06353a/41598_2022_22185_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/615e59f688d6/41598_2022_22185_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/fe9981f4ec5b/41598_2022_22185_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/4a2b943b39f5/41598_2022_22185_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/767bf7be2268/41598_2022_22185_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/72c076329753/41598_2022_22185_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/6a9e4409a873/41598_2022_22185_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3513/9605984/bbbbaec32469/41598_2022_22185_Fig13_HTML.jpg

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