大气扰动密度场光散射信号成像仿真方法

王宇瑶; 孙晓兵; 崔文煜; 胡远; 于长平; 宋波; 徐玲玲; 余海啸; 韦祎晨; 王宇轩; 姚顺

doi:10.7498/aps.74.20250249

摘要

空中飞行器在飞行过程中对邻近大气环境造成扰动, 形成明显有别于自然背景的大气密度空间分布特征. 本文提出基于大气扰动密度场远距离感知飞行器存在的构想, 针对性地设计了对大气扰动区域散射光进行三维层析成像的探测模式, 以及扰动光信号产生、传递和响应的全过程仿真链路. 重点解决了在短曝光条件和激光脉冲二次散射作用下的成像调制传递函数估算问题, 构建了飞行器扰动密度场的光散射回波成像仿真模型. 模拟了大气扰动密度场对主动光源的散射回波信号图像和与无扰动背景的差异图像, 并在此基础上讨论了不同系统参数下的仿真结果. 该模型可以为探测系统设计提供分析工具, 并为相关探测技术的发展提供基础.

关键词:

Abstract

During flight operations, aircraft induces atmospheric disturbances in the surrounding environment through aerodynamic interactions between its geometric configuration and ambient air medium, resulting in spatially distinct density distribution characteristics that are significantly different from natural background scenario. Considering the positive correlation between atmospheric medium density and light scattering intensity, theoretical analysis shows that detecting the light scattering intensity signals in disturbed regions can map density distributions, thereby extracting the features of aircraft-induced atmospheric disturbance density fields. Based on the concept of long-range aircraft detection through atmospheric disturbance density field characterization, a novel remote sensing method for aircraft detection is proposed in this work. Specifically, a three-dimensional tomographic imaging detection mode for scattered light in an atmospheric disturbance region is designed, and a comprehensive simulation framework covering the entire process of disturbance optical signal generation, transmission, and response is constructed. The study accomplishes the following tasks: 1) the critical challenges in estimating the imaging modulation transfer function under short-exposure conditions subjected to laser pulse secondary scattering effects are resolved, and a photon scattering echo imaging simulation model for aircraft-induced disturbance density fields is established; 2) the scattering echo signal images from active light sources in disturbed density fields and the differential images obtained under disturbed background and non-disturbed background are simulated, with simulation results under varying system parameters analyzed systematically. The research demonstrates that this simulation model can be used to optimize detection system parameters, develop signal processing methods, and assess long-range detection capabilities, thus providing both theoretical foundations and technical support for advancing aircraft detection technologies based on density disturbance characteristics.

Keywords:

作者及机构信息

1.
中国科学院合肥物质科学研究院, 安徽光学精密机械研究所, 合肥　230031

2.
中国科学技术大学, 合肥　230026

3.
中国科学院通用光学定标与表征技术重点实验室, 合肥　230031

4.
中国科学院力学研究所, 高温气体动力学国家重点实验室, 北京　100190

5.
巢湖学院计算机与人工智能学院, 合肥　238024

通信作者: 崔文煜, cuiwenyu@aiofm.ac.cn ; 胡远, yhu@imech.ac.cn ;

基金项目: 国家重点研发计划 (批准号: 2022YFF0711703) 资助的课题.

Authors and contacts

1.
Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230031, China

2.
University of Science and Technology of China, Hefei 230026, China

3.
Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031, China

4.
State Key Laboratory of High Temperature Gas Dynamics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China

5.
School of Computer Science and Artificial Intelligence, Chaohu University, Hefei 238024, China

Corresponding author: CUI Wenyu, cuiwenyu@aiofm.ac.cn ; HU Yuan, yhu@imech.ac.cn ;

Funds: Project supported by the National Key R&D Program of China (Grant No. 2022YFF0711703).

文章全文

参考文献

[1]	任维贺, 张月, 苏云, 张学敏, 邓红艳, 柳祎 2022 红外与激光工程 51 20210843 Google Scholar Ren W H, Zhang Y, Su Y, Zhang X M, Deng H Y, Liu Y 2022 Infrared and Laser Engineering 51 20210843 Google Scholar
[2]	Pan W J, Jiang Y Q, Zhang Y Q 2023 Sustainability 15 6391 Google Scholar
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[4]	Liu Z R, Mao J M 2003 Chin. Phys. Lett. 20 206 Google Scholar
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[6]	Garnet M, Altman A 2009 J. Aircr. 46 263 Google Scholar
[7]	Burnham D C, Hallock J N 2013 J. Aircr. 50 82 Google Scholar
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[9]	Yoshikawa E, Matayoshi N 2017 AIAA J. 55 2269 Google Scholar
[10]	Gao H, Li J B, Chan P W, Hon K K, Wang X S 2018 Opt. Express 26 16377 Google Scholar
[11]	Marshall R E, Mudukutore A, Wissel V L H, Myers T 1998 Three-Centimeter Doppler Radar Observations of Wingtip-Generated Wake Vortices in Clear Air Report No. NASA/ CR-97-206260
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[14]	Sun Q, Cui W, Li Y H, Cheng B Q, Jin D, Li J 2014 Chin. Phys. B 23 075210 Google Scholar
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[16]	Heineck J T, Banks D W, Schairer E T, Haering E A Jr., Bean P S 2016 AIAA Flight Testing Conference Washington, DC, USA, June 13–17, 2016 p11
[17]	李新亮 2015 航空学报 36 147 Google Scholar Li X L 2015 Acta Aeronaut. ET Astronaut. Sin. 36 147 Google Scholar
[18]	Yu C P, Hu R N, Yan Z, Li X L 2022 J. Fluid Mech. 940 A18 Google Scholar
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[22]	黄金 2024 硕士学位论文 (西安: 西安理工大学) Huang J 2024 M. S. Dissertation (Xi’an: Xi’an University of Technology
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施引文献

图 1 大气扰动密度场云图分布

Fig. 1. Distribution of atmospheric disturbance density field cloud map.

下载: 全尺寸图片幻灯片

图 2 扰动密度场侧视剖面图(以y = –1 m为例)

Fig. 2. Side view profile of disturbance density field (taking y = –1 m as an example).

下载: 全尺寸图片幻灯片

图 3 扰动密度场垂向扩散分布曲线(以正视图中x = 50 m为例)

Fig. 3. Vertical diffusion distribution curves of disturbance density field (taking x = 50 m in the front view as an example).

下载: 全尺寸图片幻灯片

图 4 扰动密度场纵向扩散分布曲线(以侧视图中y = –1 m为例)

Fig. 4. Longitudinal diffusion distribution curves of disturbance density field (taking y = –1 m in the side view as an example).

下载: 全尺寸图片幻灯片

图 5 扰动密度场横向扩散分布曲线(以俯视图中z = 10 m为例)

Fig. 5. Lateral diffusion distribution curves of disturbance density field (taking z = 10 m in the top view as an example).

下载: 全尺寸图片幻灯片

图 6 基于大气扰动密度场的探测原理示意图

Fig. 6. Schematic diagram of detection principle based on atmospheric disturbance density field.

下载: 全尺寸图片幻灯片

图 7 大气扰动密度场光散射回波信号成像仿真模型框架和工作流程示意图

Fig. 7. Schematic diagram of the framework and workflow of the imaging simulation model for light scattering echo signals in atmospheric disturbance density field.

下载: 全尺寸图片幻灯片

图 8 两种坐标系的关系

Fig. 8. Relationship between the two coordinate systems.

下载: 全尺寸图片幻灯片

图 9 高差校正示意图^[21]

Fig. 9. Schematic diagram of height difference correction^[21].

下载: 全尺寸图片幻灯片

图 10 二次散射作用计算原理示意图

Fig. 10. Schematic diagram of the calculation principle of secondary scattering effect.

下载: 全尺寸图片幻灯片

图 11 二次散射作用贡献比重计算流程图

Fig. 11. Flowchart of the calculation of contribution ratio of secondary scattering effect.

下载: 全尺寸图片幻灯片

图 12 邻近光线二次散射贡献比随距离的变化

Fig. 12. Variation curve of the contribution ratio of secondary scattering from adjacent light rays with distance.

下载: 全尺寸图片幻灯片

图 13 大气扰动场光散射场回波信号成像示意图

Fig. 13. Schematic diagram of echo signal imaging of light scattering field in atmospheric disturbance field.

下载: 全尺寸图片幻灯片

图 14 经短曝光大气MTF作用后的成像效果

Fig. 14. Imaging effect after short-exposure atmospheric MTF.

下载: 全尺寸图片幻灯片

图 15 大气扰动密度场光散射层析成像探测结果图　(a), (c), (e)散射回波信号; (b), (d), (f) 与无扰动背景的差异

Fig. 15. Tomographic imaging detection results of light scattering in atmospheric disturbance density field: (a), (c), (e) Scattering echo signals; (b), (d), (f) the differential images obtained by comparing disturbed and non-disturbed background.

下载: 全尺寸图片幻灯片

图 16 不同波长的成像探测结果图　(a), (c), (e)散射回波信号; (b), (d), (f)与无扰动背景的差异

Fig. 16. Imaging detection results at different wavelengths: (a), (c), (e) Scattering echo signals; (b), (d), (f) the differential images obtained by comparing disturbed and non-disturbed backgrounds.

下载: 全尺寸图片幻灯片

图 17 不同轴向分辨率的成像探测结果图　(a), (c), (e)散射回波信号; (b), (d), (f)与无扰动背景的差异

Fig. 17. Imaging detection results at different axial resolutions: (a), (c), (e) Scattering echo signals; (b), (d), (f) the differential images obtained by comparing disturbed and non-disturbed backgrounds.

下载: 全尺寸图片幻灯片

图 18 不同成像分辨率的成像探测结果图　(a), (c), (e)散射回波信号; (b), (d), (f)与无扰动背景的差异

Fig. 18. Imaging detection results at different spatial resolutions: (a), (c), (e) Scattering echo signals; (b), (d), (f) the differential images obtained by comparing disturbed and non-disturbed backgrounds.

下载: 全尺寸图片幻灯片

[1]	任维贺, 张月, 苏云, 张学敏, 邓红艳, 柳祎 2022 红外与激光工程 51 20210843 Google Scholar Ren W H, Zhang Y, Su Y, Zhang X M, Deng H Y, Liu Y 2022 Infrared and Laser Engineering 51 20210843 Google Scholar
[2]	Pan W J, Jiang Y Q, Zhang Y Q 2023 Sustainability 15 6391 Google Scholar
[3]	Wei Z Q, Li X C, Liu F 2022 Int. J. Aeronaut. Space Sci. 23 406 Google Scholar
[4]	Liu Z R, Mao J M 2003 Chin. Phys. Lett. 20 206 Google Scholar
[5]	潘卫军, 栾天, 康贤彪, 张庆宇, 任杰, 张强 2019 空气动力学学报 37 511 Google Scholar Pan, W J, Luan, T, Kang, X, Zhang Q Y, Ren, J, Zhang, Q 2019 Acta Aerodyn. Sin. 37 511 Google Scholar
[6]	Garnet M, Altman A 2009 J. Aircr. 46 263 Google Scholar
[7]	Burnham D C, Hallock J N 2013 J. Aircr. 50 82 Google Scholar
[8]	Köpp F, Rahm S, Smalikho I 2004 J. Atmos. Oceanic Technol. 21 194 Google Scholar
[9]	Yoshikawa E, Matayoshi N 2017 AIAA J. 55 2269 Google Scholar
[10]	Gao H, Li J B, Chan P W, Hon K K, Wang X S 2018 Opt. Express 26 16377 Google Scholar
[11]	Marshall R E, Mudukutore A, Wissel V L H, Myers T 1998 Three-Centimeter Doppler Radar Observations of Wingtip-Generated Wake Vortices in Clear Air Report No. NASA/ CR-97-206260
[12]	武宇, 易仕和, 陈植, 张庆虎, 冈敦殿 2013 物理学报 62 184702 Google Scholar Wu Y, Yi S H, Chen Z, Zhang Q H, Gang D D 2013 Acta Phys. Sin. 62 184702 Google Scholar
[13]	易仕和, 陈植 2015 物理学报 64 199401 Google Scholar Yi S, Chen Z 2015 Acta Phys. Sin. 64 199401 Google Scholar
[14]	Sun Q, Cui W, Li Y H, Cheng B Q, Jin D, Li J 2014 Chin. Phys. B 23 075210 Google Scholar
[15]	Heineck J T, Banks D W, Smith N T, Schairer E T, Bean P S, Robillos T 2021 AIAA J. 59 11 Google Scholar
[16]	Heineck J T, Banks D W, Schairer E T, Haering E A Jr., Bean P S 2016 AIAA Flight Testing Conference Washington, DC, USA, June 13–17, 2016 p11
[17]	李新亮 2015 航空学报 36 147 Google Scholar Li X L 2015 Acta Aeronaut. ET Astronaut. Sin. 36 147 Google Scholar
[18]	Yu C P, Hu R N, Yan Z, Li X L 2022 J. Fluid Mech. 940 A18 Google Scholar
[19]	Hu R N, Li X L, Yu C P 2023 J. Fluid Mech. 972 A14 Google Scholar
[20]	Hu R N, Li X L, Yu C P 2022 J. Fluid Mech. 946 A19 Google Scholar
[21]	卞正富 2002 测量学 (北京: 中国农业出版社) 第17页 Bian Z F 2002 Surveying (Beijing: China Agriculture Press) p17
[22]	黄金 2024 硕士学位论文 (西安: 西安理工大学) Huang J 2024 M. S. Dissertation (Xi’an: Xi’an University of Technology
[23]	崔洪鲁, 闫召爱, 张炳炎, 郭文杰, 胡雄 2020 空间科学学报 40 1046 Google Scholar Cui H L, Yan Z, Zhang B Y, Guo W J, Hu X 2020 Chin. J. Space Sci. 40 1046 Google Scholar
[24]	陈胜哲 2014 博士学位论文 (北京: 北京理工大学) Chen S Z 2014 Ph. D. Dissertation (Beijing: Beijing Institute of Technology
[25]	刘厚通, 陈良富, 苏林 2011 物理学报 60 064204 Google Scholar Liu H T, Chen L F, Su L 2011 Acta Phys. Sin. 60 064204 Google Scholar
[26]	白珺, 袁艳, 苏丽娟, 孙成明 2012 现代电子技术 35 124 Google Scholar Bai J, Yuan Y, Su L J, Sun C M 2012 Modern Electron. Tech. 35 124 Google Scholar
[27]	马雪莲 2015 光子学报 44 0601003 Google Scholar Ma X L 2015 Acta Photonica Sin. 44 0601003 Google Scholar
[28]	陈武喝 1999 光电子·激光 10 375 Google Scholar Chen W H 1999 J. Optoelectron. ·Laser 10 375 Google Scholar

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