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
  • [41] A simulation-based approach towards automatic target recognition of high resolution space borne radar signatures
    Anglberger, H.
    Kempf, T.
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXII, 2016, 10004
  • [42] Improved Constraints on Northern Extratropical CO2 Fluxes Obtained by Combining Surface-Based and Space-Based Atmospheric CO2 Measurements
    Byrne, B.
    Liu, J.
    Lee, M.
    Baker, I
    Bowman, K. W.
    Deutscher, N. M.
    Feist, D. G.
    Griffith, D. W. T.
    Iraci, L. T.
    Kiel, M.
    Kimball, J. S.
    Miller, C. E.
    Morino, I
    Parazoo, N. C.
    Petri, C.
    Roehl, C. M.
    Sha, M. K.
    Strong, K.
    Velazco, V. A.
    Wennberg, P. O.
    Wunch, D.
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2020, 125 (15)
  • [43] Simultaneous retrieval of atmospheric CO2 and light path modification from space-based spectroscopic observations of greenhouse gases: methodology and application to GOSAT measurements over TCCON sites
    Oshchepkov, Sergey
    Bril, Andrey
    Yokota, Tatsuya
    Yoshida, Yukio
    Blumenstock, Thomas
    Deutscher, Nicholas M.
    Dohe, Susanne
    Macatangay, Ronald
    Morino, Isamu
    Notholt, Justus
    Rettinger, Markus
    Petri, Christof
    Schneider, Matthias
    Sussman, Ralf
    Uchino, Osamu
    Velazco, Voltaire
    Wunch, Debra
    Belikov, Dmitry
    APPLIED OPTICS, 2013, 52 (06) : 1339 - 1350
  • [44] k-Space Decomposition-Based 3-D Imaging With Range Points Migration for Millimeter-Wave Radar
    Akiyama, Yoshiki
    Ohmori, Tomoki
    Kidera, Shouhei
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (08): : 6637 - 6650
  • [45] A Coupled Error Self-Calibration Method for High-Speed Space Target Imaging in Stepped-Frequency Radar Based on Minimum Entropy
    Li, Pucheng
    Li, Linghao
    Lv, Linhan
    Dong, Zehua
    Wang, Zhen
    Ding, Zegang
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2025, 61 (01) : 1090 - 1103