Simulation for ground penetrating radar (GPR) study of the subsurface structure of the Moon

被引:29
作者
Fa, Wenzhe [1 ]
机构
[1] Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
Modeling and simulation; Subsurface structure; GPR echo; Inversion; Moon; LASER ALTIMETER; LUNAR; THICKNESS; SOUNDER; MARIA;
D O I
10.1016/j.jappgeo.2013.08.002
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Ground penetrating radar (GPR) is currently within the scope of China's Chang-E 3 lunar mission, to study the shallow subsurface of the Moon. In this study, key factors that could affect a lunar GPR performance, such as frequency, range resolution, and antenna directivity, are discussed firstly. Geometrical optics and ray tracing techniques are used to model GPR echoes, considering the transmission, attenuation, reflection, geometrical spreading of radar waves, and the antenna directivity. The influence on A-scope GPR echoes and on the simulated radargrams for the Sinus Iridum region by surface and subsurface roughness, dielectric loss of the lunar regolith, radar frequency and bandwidth, and the distance between the transmit and receive antennas are discussed. Finally, potential scientific return about lunar subsurface properties from GPR echoes is also discussed. Simulation results suggest that subsurface structure from several to hundreds of meters can be studied from GPR echoes at P and VHF bands, and information about dielectric permittivity and thickness of subsurface layers can be estimated from GPR echoes in combination with regolith composition data. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:98 / 108
页数:11
相关论文
共 50 条
  • [41] Estimation of Moisture Content in Railway Subgrade by Ground Penetrating Radar
    Liu, Sixin
    Lu, Qi
    Li, Hongqing
    Wang, Yuanxin
    REMOTE SENSING, 2020, 12 (18)
  • [42] Investigation on target imaging algorithm for ground penetrating radar detection
    Liu, Ying
    Guo, Lixin
    Feng, Liying
    2020 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY (ICMMT 2020 ONLINE), 2020,
  • [43] Inversion of Ground Penetrating Radar Data Based on Neural Networks
    Liu, Tao
    Su, Yi
    Huang, Chunlin
    REMOTE SENSING, 2018, 10 (05):
  • [44] Three-dimensional orthorectified simulation and ground penetrating radar detection of interlayer bonding condition in asphalt pavements
    Yang, Jiangang
    Yang, Shenggang
    Yao, Yuquan
    Gao, Jie
    Wang, Shuyi
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (09)
  • [45] Moon-Based Ground Penetrating Radar Derivation of the Helium-3 Reservoir in the Regolith at the Chang'E-3 Landing Site
    Ding, Chunyu
    Li, Qingquan
    Xu, Jiangwan
    Lei, Zhonghan
    Li, Jiawei
    Su, Yan
    Huang, Shaopeng
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 16 : 2764 - 2776
  • [46] Continuous snowpack monitoring using upward-looking ground-penetrating radar technology
    Schmid, Lino
    Heilig, Achim
    Mitterer, Christoph
    Schweizer, Juerg
    Maurer, Hansruedi
    Okorn, Robert
    Eisen, Olaf
    JOURNAL OF GLACIOLOGY, 2014, 60 (221) : 509 - 525
  • [47] Reconstruction of forest litter horizons using ground-penetrating radar
    Andre, Frederic
    Jonard, Mathieu
    Lambot, Sebastien
    Jonard, Francois
    2015 8TH INTERNATIONAL WORKSHOP ON ADVANCED GROUND PENETRATING RADAR (IWAGPR), 2015,
  • [48] Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNet
    Leong, Zi Xian
    Zhu, Tieyuan
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (06)
  • [49] Ground Penetrating Radar Nondestructive Testing Based on Wavelet Sparse Representation
    Ding, Liang
    Cao, Jun
    INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2014, 53 (07) : 2191 - 2197
  • [50] Measurement of retention functions with hysteresis using ground-penetrating radar
    Weihnacht, B.
    Boerner, F.
    NEAR SURFACE GEOPHYSICS, 2014, 12 (04) : 539 - 548