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摘要: 电磁波信息传输与获取自由度的提升一直是雷达目标探测性能增强的物理基础,在传统时、空、频、极化调制外,携带有轨道角动量的涡旋电磁波为雷达目标探测提供了“波前”这一新的信息承载维度。该文首先介绍了电磁涡旋雷达进行目标探测与成像的原理,分析比较了其技术特点;接着,对电磁涡旋雷达波束调控与目标散射特性研究现状进行了对比总结;进一步,综述了电磁涡旋雷达重要应用方向的发展历程与研究进展,包括目标成像、旋转多普勒探测、探测干扰一体化、雷达系统,并着重对处理方法进行了梳理分类与特点分析。最后,展望涡旋电磁波在探测以及干扰方面的潜力,指出未来发展的重点方向及若干关键科学技术问题。Abstract: Improvements in the information transmission and acquisition capabilities of electromagnetic (EM) waves generally provide the physical basis for enhancing radar target detection performance. Beyond conventional time, space, frequency, and polarization modulation schemes, vortex EM waves carrying orbital angular momentum enable radar target detection in a new information domain, i.e., the wavefront. In this paper, the principles of target detection and imaging using EM vortex radar are introduced, and its technical characteristics are analyzed. Subsequently, the beam manipulation and target scattering characteristics of EM vortex radar are overviewed. Furthermore, the historical development and recent advances in EM vortex radar applications are reviewed, including target imaging, rotational Doppler detection, integrated detection and jamming, and radar systems, with a focus on the corresponding signal processing approaches. Finally, the potential of vortex EM wave-based detection and jamming technologies is evaluated, and key application areas and several important scientific and technical challenges are discussed.
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表 1 典型的雷达前视成像原理与技术特点对比
Table 1. Comparison of typical radar forward-looking imaging principles and technical characteristics
雷达体制 成像原理 技术特点 单脉冲雷达 单脉冲测角 具有较高的测角精度、成像时间短;同一距离上多个目标难以分辨,易受角闪烁等影响 实孔径波束扫描雷达 波束宽度分辨 通常采用解卷积或空间谱估计方法,在理想情况下可以获得很高的分辨率;
成像质量受天线方向图形状和旁瓣影响大,对回波信噪比要求高微波关联成像雷达 目标散射回波与随机
辐射场关联处理源自量子成像概念,成像分辨率高;复杂目标成像结果不稳定,系统实现时对信号控制精度要求高 电磁涡旋雷达 轨道角动量模态与
方位角间对偶关系利用轨道角动量自由度,为目标方位信息获取提供了新的技术途径,
成像实现简单;波束受贝塞尔函数调制,波束轴附近存在相位奇点,辐射能量发散表 2 典型电磁涡旋雷达目标成像方法对比分析
Table 2. Comparative analysis of typical target imaging methods for EM vortex radar
成像方法 所需OAM模态数 成像分辨能力 成像稳健性 二维成像 轨道角动量域谱估计 较多 方位分辨率依赖于可利用的OAM模态范围 抗噪声性能好 计算成像类方法(稀疏贝叶斯、
OMP等)少量 对简单目标能够实现高分辨率成像 对信噪比要求高 学习类成像方法(深度卷积网络等) 少量 通常能够获得高分辨率图像 受训练数据集影响较大 三维成像 基于涡旋电磁波幅相特性的三维成像 较多 能够在静止场景下实现方位-俯仰-距离
三维联合分辨依赖于先验信息,对信噪比要求高 结合阵列多基线观测的三维成像 适中 依靠天线阵列基线获取俯仰维信息,
能够在静止场景下实现三维成像抗噪声性能好,图像配准要求高 结合相对径向运动的三维成像 适中 依靠相对径向运动构造虚拟阵列实现俯仰维分辨,
能够实现三维高分辨成像抗噪声性能好,运动非理想等
影响成像质量 -
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