基于多层月壤结构随机介质模型的嫦娥三号月球车LPR仿真与处理

Y. Hu, Z. Zeng, J. Li, F. Liu
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引用次数: 8

摘要

“嫦娥三号”月球车搭载的探月雷达(LPR)能够估算月球浅层结构的厚度,探测到三层结构。为了对LPR数据进行分析,建立解释和实验模型,本文进行了LPR仿真和处理算法,为今后的LPR检测提供一些参考。首先,基于CE-3 LPR数据,利用混合高斯自相关函数建立月球近地表随机介质模型;中间参数来自距离CE-3着陆点最近的阿波罗15号的数据。然后,采用时域有限差分(FDTD)方法对月球模型进行了仿真。同时考虑地形和玉兔月球车干扰波的影响。最后,为了消除玉兔月球车产生的杂波,我们采用了radon变换(RT)来减少杂波。处理结果可以获得高分辨率的地下结构。本文提供了未来月球探测项目中LPR数据处理和解释的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation and processing of LPR onboard the rover of Chang'E-3 mission: Based on multilayer lunar regolith structure stochastic media model
Lunar Penetrating Radar (LPR), equipped on the rover of Chang'E-3 mission (CE-3), estimates the thickness of lunar shallow structure and detects three layers structure. In order to analyze the data of LPR and build an interpretation and experimental model, in this paper, we carry out LPR simulation and processing algorithm to provide some reference for future LPR detection. Firstly, we build the stochastic media model of lunar near surface with mix Gaussian auto-correlation function based on CE-3 LPR data. The medium parameters come from data of Apollo 15, which is the nearest to the landing site of CE-3. Then, the lunar model is simulated by the finite difference time domain (FDTD) method. We also consider the effect of interference wave from topographic and Yutu rover. Lastly, in order to eliminate the clutter wave due to Yutu rover, we use radon transform (RT) to reduce the clutter. We can obtain high resolution subsurface structure from processing results. In this paper we provide techniques for LPR data processing and interpretation in future moon probe projects.
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