Simulation of a surface-penetrating radar for Mars exploration

被引:18
|
作者
Leuschen, C
Clifford, S
Gogineni, P
机构
[1] Johns Hopkins Univ, Appl Phys Lab, Laurel, MD 20723 USA
[2] Lunar & Planetary Inst, Houston, TX 77058 USA
[3] Univ Kansas, Radar Syst & Remote Sensing Lab, Lawrence, KS 66045 USA
关键词
ground-penetrating radar (GPR); Mars; radar; simulation; clutter;
D O I
10.1029/2002JE001875
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
[1] In the near future, several exploratory missions to Mars are planned, which will include orbital radar sounders capable of characterizing the planet's subsurface structure to depths of up to a few kilometers. Due to the limited amount of resources concerning the properties of the Martian soils, in particular, those governing electromagnetic propagation and scattering, the ability of a radar system to detect and distinguish between subsurface interfaces is difficult to predict. Up to this time, most radar sounding simulations have been based on simplified models and do not accurately account for many of the factors that influence the response. To aid in the system evaluation and data interpretation for these missions, we developed a radar simulator to accurately model the response for various geological conditions. The simulator uses a frequency domain algorithm and is capable of modeling the effects of dielectric layering, volume debris, frequency dispersion, ohmic losses, and interface roughness. In this paper a geophysical model appropriate to the radar simulator is described, and the simulation algorithms are presented in detail. Factors influencing wave propagation and scattering are identified, including those that directly impact radar performance, specifically pertaining to expected penetration depths and unambiguous detection of water or ice. Finally, using a set of "standard'' crustal models of different geological regions, simulation results are generated and presented.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Mars Exploration Rover surface operations:: Driving Spirit at Gusev Crater
    Leger, PC
    Trebi-Ollennu, A
    Wright, JR
    Maxwell, SA
    Bonitz, RG
    Biesiadecki, JJ
    Hartman, FR
    Cooper, BK
    Baumgartner, ET
    Maimone, MW
    INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 1815 - 1822
  • [32] Operation and performance of the Mars exploration rover imaging system on the Martian surface
    Maki, JN
    INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS, 2005, : 930 - 936
  • [33] Mathematics and Mars Exploration
    Velasco, M. P.
    Usero, D.
    Jimenez, S.
    Aguirre, C.
    Vazquez, L.
    PURE AND APPLIED GEOPHYSICS, 2015, 172 (01) : 33 - 47
  • [34] Subsurface investigation of a rock glacier using ground-penetrating radar: Implications for locating stored water on Mars
    Degenhardt, JJ
    Giardino, JR
    JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS, 2003, 108 (E4)
  • [35] Noise Performance Comparison Between Continuous Wave and Stroboscopic Pulse Ground Penetrating Radar
    Pieraccini, Massimiliano
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (02) : 222 - 226
  • [36] Near-surface fault investigation by Ground Penetrating Radar (GPR) surveys
    Takao, Kobayashi
    Sun, Changwan
    Choi, Jin-Hyuck
    JOURNAL OF THE GEOLOGICAL SOCIETY OF KOREA, 2022, 58 (04) : 445 - 455
  • [37] Absolute RCS Calibration of a UAV Ultrawideband Surface Penetrating Radar Using a Disk
    Melebari, Asem
    Eskandari, Sepehr
    Moghaddam, Mahta
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [38] Scientific results and lessons learned from an integrated crewed Mars exploration simulation at the Rio Tinto Mars analogue site
    Orgel, Csilla
    Kereszturi, Akos
    Vaczi, Tamas
    Groemer, Gernot
    Sattler, Birgit
    ACTA ASTRONAUTICA, 2014, 94 (02) : 736 - 748
  • [39] Cancellation Technique for CW Ground Penetrating Radar Applications
    Nounouh, S.
    Haddadi, K.
    Lasri, T.
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2015, 25 (05) : 343 - 345
  • [40] Mars Surface Imaging by Exploiting Off-Nadir Radar Sounding Data
    Carrer, Leonardo
    Zancanella, Federico
    Bruzzone, Lorenzo
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (04): : 2951 - 2961