Mars Rover Penetrating Radar Modeling and Interpretation Considering Linear Frequency Modulation Source and Tilted Antenna
文献类型：期刊论文
| 作者 | Zhong, Shichao1,4; Wang, Yibo3; Zheng, Yikang3; Chen, Ling2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-07-01 |
| 卷号 | 15期号:13页码:23 |
| 关键词 | Mars Rover Penetrating Radar (RoPeR) linear frequency modulation continuous wave (LFMCW) tilted antenna structure radiation pattern compensation (RPC) |
| DOI | 10.3390/rs15133423 |
| 英文摘要 | Ground-penetrating radar (GPR) has been extensively utilized in deep-space exploration. However, GPR modeling commonly employs simplified antenna models and carrier-free impulse signals, resulting in reduced accuracy and interpretability. In this paper, we addressed these limitations by combining a tilted monopole antenna and linear frequency modulation continuous wave (LFMCW) to simulate real conditions. Additionally, a radiation-pattern-compensation back-propagation (RPC-BP) algorithm was developed to improve the illumination of the right-inclined structure. We first introduced the LFMCW used by the Mars Rover Penetrating Radar (RoPeR) onboard the Zhurong rover, where frequencies range from 15 to 95 MHz. Although the LFMCW signal improves radiation efficiency, it increases data processing complexity. Then, the radiation patterns and response of the tilted monopole antenna were analyzed, where the radiated signal amplitude varies with frequency. Finally, a series of numerical and laboratory experiments were conducted to interpret the real RoPeR data. The results indicate that hyperbolic echoes tilt in the opposite direction of the survey direction. This study demonstrates that forward modeling considering real transmit signals and complex antenna models can improve modeling accuracy and prevent misleading interpretations on deep-space exploration missions. Moreover, the migration process can improve imaging quality by considering radiation pattern compensation. |
| WOS关键词 | WAVE-FORM INVERSION ; GPR DATA ; SUBSURFACE ; PERMITTIVITY ; CONDUCTIVITY ; ONBOARD |
| 资助项目 | Institute of Geology and Geophysics, Chinese Academy of Sciences[IGGCAS-202102] ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research[YSBR-020] ; National Natural Science Foundation of China[61860206012] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001031037900001 |
| 出版者 | MDPI |
| 资助机构 | Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; Chinese Academy of Sciences (CAS) Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/111311]  |
| 专题 | 地质与地球物理研究所_中国科学院油气资源研究重点实验室 地质与地球物理研究所_岩石圈演化国家重点实验室 |
| 通讯作者 | Wang, Yibo |
| 作者单位 | 1.Beijing Inst Technol, Yangtze Delta Reg Acad, Jiaxing 314019, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China 4.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhong, Shichao,Wang, Yibo,Zheng, Yikang,et al. Mars Rover Penetrating Radar Modeling and Interpretation Considering Linear Frequency Modulation Source and Tilted Antenna[J]. REMOTE SENSING,2023,15(13):23. |
| APA | Zhong, Shichao,Wang, Yibo,Zheng, Yikang,&Chen, Ling.(2023).Mars Rover Penetrating Radar Modeling and Interpretation Considering Linear Frequency Modulation Source and Tilted Antenna.REMOTE SENSING,15(13),23. |
| MLA | Zhong, Shichao,et al."Mars Rover Penetrating Radar Modeling and Interpretation Considering Linear Frequency Modulation Source and Tilted Antenna".REMOTE SENSING 15.13(2023):23. |
入库方式： OAI收割
来源：地质与地球物理研究所
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