Lunar Penetrating Radar Data Processing and Analysis Based on CEEMD

Zhang Ling, Zeng Zhaofa, Li Jing, Lin Jingyi, Huang Zhipeng, Z. Jianmin
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引用次数: 3

Abstract

Knowledge of the subsurface structure not only provides important information on lunar geology, but also is critical for quantifying potential resources for lunar exploration and engineering for human outposts. The dual-frequency lunar penetrating radar (LPR) aboard the Yutu rover provides a unique opportunity to map subsurface structure to a depth of several hundreds of meters from the low-frequency channel and near-surface stratigraphic structure of the regolith from high-frequency observations. A low-frequency radar image can be available, based on a data processing flow. Since the data is troubled by frequency dispersion and noise which may caused by instrument, Complete Ensemble Empirical Mode Decomposition (CEEMD) helps to process and analyze the LPR data. Finally, combining with the history of the moon, regional geology, especially the Intrinsic Mode Functions (IMF) of LPR data, we give a interpretation of the subsurface structure around landing site.
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基于CEEMD的探月雷达数据处理与分析
对月球地下结构的了解不仅提供了重要的月球地质信息,而且对量化月球探测和人类前哨工程的潜在资源至关重要。玉兔月球车上的双频探月雷达(LPR)提供了一个独特的机会,可以从低频通道绘制数百米深处的地下结构,并从高频观测中绘制近地表地层结构。基于数据处理流程,可以获得低频雷达图像。由于LPR数据受到仪器可能引起的频散和噪声的干扰,完全集合经验模态分解(CEEMD)有助于处理和分析LPR数据。最后,结合月球历史、区域地质,特别是LPR数据的本征模态函数(IMF),对着陆点周围的地下结构进行了解释。
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