马岩2,,,
张磊3,,,
钟卫军4
1.浙江工业大学 杭州 310014
2.北京跟踪与通信技术研究所 北京 100094
3.中山大学 广州 510275
4.西安卫星测量中心 西安 710071
基金项目:国家自然科学基金(61771372)
详细信息
作者简介:周叶剑(1993–)，男，浙江台州人，博士，浙江工业大学信息工程学院特聘副研究员，硕士生导师。主要研究方向为SAR/ISAR成像与图像解译、多源信息融合
马岩：马 岩(1977–)，男，山东菏泽人，硕士，北京跟踪与通信技术研究所副研究员。研究方向为光电信息处理与分析、目标特性与识别
张磊：张 磊(1984–)，男，浙江金华人，博士，现为中山大学电子与通信学院教授，博士生导师。研究方向为雷达信号处理、SAR/ISAR成像与目标识别
钟卫军(1982–)，男，浙江衢州人，博士，现为西安卫星测量中心高级工程师。研究方向为太空态势感知信息处理、目标特性与识别
通讯作者:马岩 mayan888@sina.com
张磊 zhanglei57@mail.sysu.edu.cn
责任主编：许小剑 Corresponding Editor: XU Xiaojian中图分类号:TN975
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被引次数:0
出版历程
收稿日期:2021-06-28
修回日期:2021-07-30
网络出版日期:2021-08-23
Review of On-orbit State Estimation of Space Targets with Radar Imagery
ZHOU Yejian1,MA Yan2,,,
ZHANG Lei3,,,
ZHONG Weijun4
1. Zhejiang University of Technology, Hangzhou 310014, China
2. Beijing Institute of Tracking Telementry and Telecommunication, Beijing 100094, China
3. Sun Yat-sen University, Guangzhou 510275, China
4. Xi’an Satellite Control Center, Xi’an 710071, China
Funds:The National Natural Science Foundation of China (61771372)
More Information
Corresponding author:MA Yan, mayan888@sina.com;ZHANG Lei, zhanglei57@mail.sysu.edu.cn
摘要
摘要:空间目标状态估计旨在获取目标在轨姿态运动和几何结构等状态参数，是完成目标动作意图分析、排查潜在故障威胁和预判在轨态势等任务的关键技术。通过雷达光电成像信息处理实现在轨姿态估计是空间目标状态分析的重要途径，当前已经形成了一系列代表性实用方法。该文首先简要介绍了国内外用于空间目标监测的地基逆合成孔径雷达发展现状；重点针对空间目标时序特征匹配、三维成像重建和多视融合姿态估计多类代表性方法进行原理介绍与技术总结：数据特征匹配的状态估计性能可靠但依赖目标模型先验；三维几何重建的状态估计具备目标精细刻画潜力但观测几何要求高。同时，该文也对空间目标在轨状态估计方向未来发展趋势进行了展望。
关键词:空间态势感知/
逆合成孔径雷达成像/
多源特征融合/
目标姿态估计
Abstract:Space target state estimation aims to obtain a target’s on-orbit attitude, structure, movement, and other parameters accurately. This process helps observers analyze the target action intention, check for potential fault threats, and predict the development of on-orbit situations and is the core technology in the field of space situation awareness. Currently, the estimation of the on-orbit state of space targets mainly relies on external observations from high-performance sensors, such as radars, paralleled by the emergence of a series of representative methods. This paper briefly introduces the development status of inverse synthetic-aperture radar used for space target monitoring at home and abroad. Then, several representative methods, including data feature matching, three-dimensional (3D) imaging reconstruction, and multi-look fusion estimation, are introduced. The data feature-matching technology performs well when the priori target 3D model and scene conditions are given. The state estimation with 3D geometric reconstruction has the potential for fine description of the target, but high-level observation conditions are required. Finally, the future development trend of this direction is forecasted.
Key words:Space situation awareness/
Inverse Synthetic Aperture Radar imaging/
Multi-sensor data fusion/
Target state estimation
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