现代防御技术 ›› 2025, Vol. 53 ›› Issue (2): 141-148.DOI: 10.3969/j.issn.1009-086x.2025.02.015

• 目标特性与探测跟踪技术 • 上一篇    下一篇

多基站ISAR空间微动目标三维成像方法

何兴宇, 孙晨阳, 方钢   

  1. 空军工程大学 空管领航学院,陕西 西安 710051
  • 收稿日期:2023-12-28 修回日期:2024-02-27 出版日期:2025-04-28 发布日期:2025-04-30
  • 作者简介:何兴宇(1989-),男,河北行唐人。副教授,博士,研究方向为信号处理及战场态势感知。
  • 基金资助:
    中国博士后科学基金(2022M723876);陕西省自然科学基础研究计划(2024JC-YBMS-466)

Multi-static ISAR Three-Dimensional Imaging of Spatial Micro-motion Target

Xingyu HE, Chenyang SUN, Gang FANG   

  1. Air Traffic Control and Navigation College,Air Force Engineering University,Xi′an 710051,China
  • Received:2023-12-28 Revised:2024-02-27 Online:2025-04-28 Published:2025-04-30

摘要:

对目标三维成像的研究是进行特征提取与识别的重要途径。卫星和弹道导弹等空间目标通常具有进动的运动属性,可用来进行目标的特征提取和识别。进动目标相对于传统逆合成孔径雷达(inverse synthetic aperture radar,ISAR)转台成像目标通常具有快速旋转的特性,利用传统成像方法通常面临越距离单元徙动问题。建立了多基站空间微动目标三维模型,并对微动成像原理进行了分析,推导了不同视角下雷达视线、目标进动轴与成像平面之间的关系,进而提出了散射中心三维重构方法。通过对多基站ISAR图像及模型的分析,完成了不同基站ISAR图像散射中心的关联,最终实现了目标的三维成像。仿真实验证明了所提方法能有效实现微动目标的三维成像。

关键词: 雷达图像处理, 三维成像, 进动, 多基站, 散射中心关联

Abstract:

The research on target’s three-dimensional imaging is of significant meaning in feature extraction and recognition. Precession is the typical micromotion for cone-shaped space targets, such as warhead and satellites, which can be used for target feature extraction and identification. Inverse synthetic aperture radar (ISAR) imaging of a precession target, which is a kind of fast spinning target, is faced with migration through range cell when we use traditional imaging algorithms. Target’s micro-motion model is built and the theory of micro-motion imaging is analyzed. The relationship among radar’s line of sight, direction of target’s precession axes and imaging plane is derived. A new three-dimensional reconstruction method of scattering centers is proposed. With the analysis of multi-static ISAR image and the micro-motion model, the association of scattering centers in different station’s ISAR image is built. The target’s three-dimensional imaging is accomplished. Simulation experiments show the presented method is efficient in micro-motion target’s three-dimensional imaging.

Key words: radar imaging processing, three-dimensional imaging, precession, multi-static, scattering centers association

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