Volume 43 Issue 5
Nov.  2023
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Article Navigation >  Chinese Journal of Space Science  > 2023  >  43(5): 853-863 Open Access
MA Shixuan, DONG Xiaolong, ZHU Di, MA Jianying, BAI Dongjin. Simulation of Surface Clutter Recognition Method in Lunar Lava Tube Exploration (in Chinese). Chinese Journal of Space Science, 2023, 43(5): 853-863 doi: 10.11728/cjss2023.05.2023-0017
Citation: MA Shixuan, DONG Xiaolong, ZHU Di, MA Jianying, BAI Dongjin. Simulation of Surface Clutter Recognition Method in Lunar Lava Tube Exploration (in Chinese). Chinese Journal of Space Science, 2023, 43(5): 853-863 doi: 10.11728/cjss2023.05.2023-0017
shu

Simulation of Surface Clutter Recognition Method in Lunar Lava Tube Exploration

doi: 10.11728/cjss2023.05.2023-0017 cstr: 32142.14.cjss2023.05.2023-0017
  • 1.

    National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 2.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2023-02-07
  • Rev Recd Date: 2023-04-08
    • Available Online: 2023-05-25
    Abstract
  • Lunar lava tubes represent a high-value target in lunar exploration, and a crucial challenge in their detection lies in distinguishing between lunar surface clutter and echoes from the lava tubes. This paper introduces a method for determining the source of echoes based on the power ratio of high-frequency and low-frequency electromagnetic waves. Leveraging the differential path attenuation rates of high and low-frequency electromagnetic waves in the lunar regolith, distinct characteristics emerge in the power ratios between lava tube echoes and surface clutter. The paper focuses on radar systems designed for lava tube detection, deriving formulas for key detection metrics such as resolution, echo power, signal-to-noise ratio, and signal-to-clutter ratio. Furthermore, through simulation results, radar system parameters are designed. Lastly, employing a pseudospectral time-domain approach and establishing a simulation system, the paper conducts simulated research on lunar lava tube echoes with different orientations. Simulation results demonstrate that utilizing the power ratio of high and low-frequency echoes is an effective means of distinguishing between lunar surface clutter and lava tube echoes. The power ratio of high and low-frequency echoes from lava tubes and surface clutter exhibits a positive correlation with lava tube depth and frequency ratio. This validates the effectiveness of using power ratios to discriminate between lunar surface clutter and lava tube echoes.

     

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