GNSS Surface Occlusion Model Analysis Based on Different Fitting Functions
文献类型：期刊论文
| 作者 | Han, Junqiang; Tu, Rui; Wang, Siyao; Lu, Xiaochun |
| 刊名 | JOURNAL OF SURVEYING ENGINEERING
 |
| 出版日期 | 2023-08-01 |
| 卷号 | 149期号:3页码:7 |
| ISSN号 | 0733-9453 |
| 关键词 | Global navigation satellite system (GNSS) Surface occlusion models (SOMs) Fitting Landslide monitoring |
| DOI | 10.1061/JSUED2.SUENG-1286 |
| 英文摘要 | Accuracy and reliability are determining factors when selecting where to place a global navigation satellite system (GNSS) receiver for landslide monitoring and early warning in real time. Previous studies have revealed that surface occlusion models (SOMs) are beneficial to reduce the multipath error of satellite observation when the satellite line of sight is near the ground and improve the accuracy and reliability of GNSS monitoring. This paper investigates fitting functions to determine appropriate SOMs for GNSS stations located in different spatial environments. Based on their similarity to terrain patterns, Gaussian, Fourier, and sum of sine functions were chosen to build SOMs for the rover sites with different occlusions; the performance of fitting accuracy and application on the positioning were analyzed. The results indicate that the three functions present a similar performance considering the goodness of fit, but the Fourier and sum of sine functions can significantly improve the efficacy of SOMs and enhance performance in positioning for landslide monitoring. Therefore, these two functions can effectively support accurate and reliable GNSS landslide monitoring in real time. |
| WOS关键词 | GPS |
| 资助项目 | National Natural Science Foundation of China[42204043] ; National Natural Science Foundation of China[41974032] ; National Natural Science Foundation of China[12203060] ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar"[Y712YR4701] ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar"[Y916YRa701] ; Frontier Science Research Project[QYZDB-SSW-DQC028] |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| 出版者 | ASCE-AMER SOC CIVIL ENGINEERS |
| WOS记录号 | WOS:001010997500005 |
| 资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Frontier Science Research Project ; Frontier Science Research Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Chinese Academy of Sciences (CAS) program of "Western Youth Scholar" ; Frontier Science Research Project ; Frontier Science Research Project |
| 源URL | [http://210.72.145.45/handle/361003/14204]  |
| 专题 | 国家授时中心_导航与通信研究室 |
| 通讯作者 | Tu, Rui |
| 作者单位 | Chinese Acad Sci, Natl Time Serv Ctr, Xian 710600, Peoples R China |
| 推荐引用方式 GB/T 7714 | Han, Junqiang,Tu, Rui,Wang, Siyao,et al. GNSS Surface Occlusion Model Analysis Based on Different Fitting Functions[J]. JOURNAL OF SURVEYING ENGINEERING,2023,149(3):7. |
| APA | Han, Junqiang,Tu, Rui,Wang, Siyao,&Lu, Xiaochun.(2023).GNSS Surface Occlusion Model Analysis Based on Different Fitting Functions.JOURNAL OF SURVEYING ENGINEERING,149(3),7. |
| MLA | Han, Junqiang,et al."GNSS Surface Occlusion Model Analysis Based on Different Fitting Functions".JOURNAL OF SURVEYING ENGINEERING 149.3(2023):7. |
入库方式： OAI收割
来源：国家授时中心
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