Soldovieri Francesco, Gennarelli Gianluca, Su Yan, Ding Chunyu, Du Wei
Institute for Electromagnetic Sensing of the Environment (IREA)-National Research Council of Italy (CNR), Naples, 80128, Italy.
Key Laboratory of Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, 100012, China.
Sci Rep. 2025 Feb 12;15(1):5219. doi: 10.1038/s41598-025-89813-4.
This work presents the results achieved by applying a microwave tomographic approach to the data collected by the Lunar Penetrating Radar onboard Yutu-2 rover in the frame of the Chang'e 4 mission. The adopted signal processing pipeline comprises two steps: the first one is a pre-processing stage involving time-domain procedures required to filter the clutter and noise on raw data; the second step regards the exploitation of a microwave tomographic approach designed to tackle the computational issue imposed by the large (in terms of probing wavelength) domain investigated by the rover. Two tomographic approaches, different for modeling the signal propagation through the air-soil interface, are considered and compared. The results are provided as tomographic images along the route of 1340 m; the tomographic images confirm the presence of interesting subsurface geometrical features, whose geological interpretation agrees with the studies presented in previous papers.
这项工作展示了在嫦娥四号任务框架内，将微波层析成像方法应用于玉兔二号月球车搭载的月球穿透雷达收集的数据所取得的成果。所采用的信号处理流程包括两个步骤：第一步是预处理阶段，涉及对原始数据进行杂波和噪声滤波所需的时域程序；第二步是利用微波层析成像方法，以解决月球车所探测的大（就探测波长而言）区域带来的计算问题。考虑并比较了两种在模拟信号通过气 - 土界面传播方面不同的层析成像方法。结果以沿1340米路线的层析图像形式呈现；这些层析图像证实了存在有趣的地下几何特征，其地质解释与先前论文中提出的研究结果一致。
