天基空间态势感知数据仿真研究进展

罗秀娟; 郝伟

doi:10.37188/CO.2023-0156

天基空间态势感知数据仿真研究进展

doi: 10.37188/CO.2023-0156

罗秀娟^{1, 2, ,},
郝伟^{1, 2,}

1.
中国科学院西安光学精密机械研究所, 西安710119
2.
中国科学院空间精密测量技术重点实验室, 西安710119

基金项目: 国家自然科学基金项目（No. 61925112）

详细信息

作者简介:
罗秀娟（1964—），女，江西南康人，研究员，硕士生导师，1986 年于西安电子科技大学获得学士学位，主要从事激光成像与探测技术方面的研究。E-mail：xj_luo@opt.ac.cn

郝　伟（1979—），男，河北辛集人，博士，研究员，博士生导师，主要从事光电精密测量系统、图像与信号处理、航天光学载荷总体技术等方面的研究。E-mail：haowei@opt.ac.cn

中图分类号: TP391.9
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- 被引次数: 0
出版历程
- 收稿日期: 2023-06-06
- 修回日期: 2023-09-01
- 录用日期: 2023-09-04
- 网络出版日期: 2023-12-13

Advances in data simulation for space-based situational awareness

LUO Xiu-juan^{1, 2
, ,},
HAO Wei^{1, 2
,}

1.
Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
2.
Key Laboratory of Space Precision Measurement Technology, Chinese Academy of Sciences, Xi'an 710119, China

Funds: Supported by National Natural Science Foundation of China (No. 61925112)

More Information

Corresponding author: xj_luo@opt.ac.cn

摘要

摘要:
空间态势感知（Space Situational Awareness, SSA）数据仿真可以为空间监测设备及态势感知算法（包括空间目标检测、跟踪、识别和表征）的开发、测试和验证提供关键性数据支持，在空间态势感知能力建设中发挥重要作用。本文以天基空间态势感知光学数据仿真为研究对象，给出了SSA数据仿真的研究目的和主要研究内容，详述了SSA光学成像仿真的典型研究方法与过程。介绍了国内外相关工作的研究现状与工作进展，涵盖双目视觉传感器、激光雷达、红外传感器、可见光望远镜和恒星敏感器等不同光学传感系统的成像建模与仿真工作成果。分析了空间态势感知数据仿真研究的发展趋势，为未来SSA数据仿真研究思路与方法提供参考。
- 空间态势感知 /
- 建模 /
- 仿真 /
- 空间目标 /
- 成像
Abstract:
The data simulation for space situational awareness (SSA) can provide critical data support for the development, testing, and validation of space surveillance equipment and situational awareness algorithms (including detection, tracking, recognition, and characterization of space object), playing a significant role in building SSA capabilities. Taking the optical data simulation for space-based situational awareness as the research subject, the purpose and main research content of SSA data simulation are presented, and the typical research methods and processes of SSA optical modeling and simulation are set forth. The current research status and progress in domestic and foreign related research are introduced, covering the imaging modeling and simulation achievements of different optical sensing systems such as binocular vision sensors, LiDAR, infrared sensors, visible light telescopes, and star trackers. The development trend of SSA data simulation research is analyzed, providing reference for future research ideas and approaches of SSA data simulation.
- space situational awareness /
- modeling /
- simulation /
- space object /
- imaging

HTML全文

图 1 TESSA架构

Figure 1. TESSA architecture

下载: 全尺寸图片幻灯片

图 2 基于数字化传感器数据生成单帧图像的PROXOR™功能框图

Figure 2. PROXOR™ Block Diagram showing the production of a single image frame of digitized sensor data

下载: 全尺寸图片幻灯片

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