Space-Based THz Radar Fly-Around Imaging Simulation for Space Targets Based on Improved Path Tracing

被引:1
|
作者
Ning, Qianhao [1 ]
Wang, Hongyuan [1 ]
Yan, Zhiqiang [1 ]
Liu, Xiang [1 ]
Lu, Yinxi [1 ]
机构
[1] Harbin Inst Technol, Space Opt Engn Res Ctr, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
THz radar imaging simulation; space target; path tracing; BRDF; fly-around; REFLECTION; OPTICS; SCATTERING; ALGORITHM; MODEL;
D O I
10.3390/rs15164010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aiming at the space target detection application of a space-based terahertz (THz) radar, according to the imaging mechanism of broadband THz radars, a THz radar imaging simulation method based on improved path tracing is proposed. Firstly, the characterization method of THz scattering characteristics based on Kirchhoff's approximation method is introduced. The multi-parameter THz bidirectional reflectance distribution function (THz-BRDF) models of aluminum (Al), white-painted Al, and polyimide film at 0.215 THz are fitted according to the theoretical data, with fitting errors below 4%. Then, the THz radar imaging simulation method based on improved path tracing is presented in detail. The simulation method utilizes path tracing to simulate parallelized THz radar echo signal data, considering multi-path energy scattering based on the THz-BRDF model. Finally, we conducted THz radar imaging simulation experiments. The influences in the imaging process of different fly-around motions are analyzed, and a comparison experiment is conducted with the fast-physical optics (FPO) method. The comparative results indicate that the proposed method exhibits richer and more realistic features compared with the FPO method. The simulation experiments results demonstrate that the proposed method can provide a data source for ground algorithm testing of THz radars, particularly in evaluating the target detection and recognition algorithm based on deep learning, providing strong support for the application of space-based THz radars in the future.
引用
收藏
页数:23
相关论文
共 45 条
  • [31] Approach for space-based radar manoeuvring target detection and high-order motion parameter estimation
    Huang, Penghui
    Liao, Guisheng
    Yang, Zhiwei
    Shu, Yuxiang
    Du, Wentao
    IET RADAR SONAR AND NAVIGATION, 2015, 9 (06) : 732 - 741
  • [32] Three-dimensional Interferometric Imaging and Micro-motion Feature Extraction of Rotating Space Targets Based on Narrowband Radar
    Hu Jian
    Luo Ying
    Zhang Qun
    Kang Le
    He Qifang
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2019, 41 (02) : 270 - 277
  • [33] Space target scattering characteristic imaging in the visible range based on ray tracing algorithm
    Li, Wenbo
    Cao, Yunhua
    Meng, Donghui
    Wu, Zhensen
    2018 12TH INTERNATIONAL SYMPOSIUM ON ANTENNAS, PROPAGATION AND ELECTROMAGNETIC THEORY (ISAPE), 2018,
  • [34] Complex Cloud-Sea Background Simulation for Space-Based Infrared Payload Digital Twin
    Sun, Wen
    Li, Yejin
    Li, Fenghong
    Liu, Guangsen
    Rao, Peng
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 18 : 3025 - 3042
  • [35] The Imaging Simulation of Space Target based on the Target visible Scatter Characteristics
    Huang Jianming
    Wang Ying
    Wei Xiangquan
    SELECTED PAPERS FROM CONFERENCES OF THE PHOTOELECTRONIC TECHNOLOGY COMMITTEE OF THE CHINESE SOCIETY OF ASTRONAUTICS 2014, PT I, 2015, 9521
  • [36] CNN Based Classification of Rigid Targets in Space Using Radar Micro-Doppler Signatures
    Wang Jun
    Zhu He
    Lei Peng
    Zheng Tong
    Gao Fei
    CHINESE JOURNAL OF ELECTRONICS, 2019, 28 (04) : 856 - 862
  • [37] Multi-frame fractional Fourier transform technique for moving target detection with space-based passive radar
    Li, Zhongyu
    Santi, Fabrizio
    Pastina, Debora
    Lombardo, Pierfrancesco
    IET RADAR SONAR AND NAVIGATION, 2017, 11 (05) : 822 - 828
  • [38] Rapid Micro-Motion Feature Extraction of Multiple Space Targets Based on Improved IRT
    Wu, Jing
    Ai, Xiaofeng
    Xu, Zhiming
    Zhu, Yiqi
    Wu, Qihua
    REMOTE SENSING, 2025, 17 (03)
  • [39] The Validation of the Weight Function in the Leading-Edge-Derivative Path Delay Estimator for Space-Based GNSS-R Altimetry
    Hu, Changjiang
    Benson, Craig R.
    Qiao, Li
    Rizos, Chris
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 58 (09): : 6243 - 6254
  • [40] Review of high-contrast imaging systems for current and future ground-based and space-based telescopes III. Technology opportunities and pathways
    Snik, Frans
    Absil, Olivier
    Baudoz, Pierre
    Beaulieu, Mathilde
    Bendek, Eduardo
    Cady, Eric
    Carlomagno, Brunella
    Carlotti, Alexis
    Cvetojevic, Nick
    Doelman, David
    Fogarty, Kevin
    Galicher, Raphael
    Guyon, Olivier
    Haffert, Sebastiaan
    Huby, Elsa
    Jewell, Jeffrey
    Jovanovic, Nemanja
    Keller, Christoph
    Kenworthy, Matthew A.
    Knight, Justin
    Kuhn, Jonas
    Mazoyer, Johan
    Miller, Kelsey
    N'Diaye, Mamadou
    Norris, Barnaby
    Por, Emiel
    Pueyo, Laurent
    Riggs, A. J. Eldorado
    Ruane, Garreth
    Sirbu, Dan
    Wallace, J. Kent
    Wilby, Michael
    Ygouf, Marie
    ADVANCES IN OPTICAL AND MECHANICAL TECHNOLOGIES FOR TELESCOPES AND INSTRUMENTATION III, 2018, 10706