Estimation of LEO-GPS receiver differential code bias based on inequality constrained least square and multi-layer mapping function
文献类型：期刊论文
| 作者 | Yuan, Liangliang1,2,3; Jin, Shuanggen1,4; Hoque, Mainul3 |
| 刊名 | GPS SOLUTIONS
 |
| 出版日期 | 2020-03-11 |
| 卷号 | 24期号:2页码:12 |
| 关键词 | Inequality constrained least square Multi-layer mapping function DCB TEC GPS |
| ISSN号 | 1080-5370 |
| DOI | 10.1007/s10291-020-0970-8 |
| 英文摘要 | The differential code bias (DCB) of the global navigation satellite system (GNSS) receiver onboard a low earth orbit (LEO) satellite is one of the crucial hardware error sources in ionospheric estimation. In common practice, LEO DCBs are considered as constant within a single day. However, since such receivers are installed on moving platforms, they are subjected to the ever-changing space environment, and thus, LEO DCBs are prone to more frequent fluctuations than receiver DCBs of ground GNSS stations. We estimate the LEO GPS receiver DCBs and plasmaspheric vertical total electron content by using inequality constrained least square and a multi-layer mapping function (MF) approach to minimize mapping errors. The GPS receiver DCBs onboard constellation observing system for meteorology, ionosphere, and climate satellites (COSMIC) is investigated and analyzed during the January 2008 period. The results show that in most cases the multi-layer MF approach performs better than the commonly used single-layer MF. The mapping error from an inaccurately fixed single-layer height can be considerably reduced. Meanwhile, with the help of a multi-layer MF, the mean deviations of DCBs for five receivers compared with those based on a geometric MF at 1400 km are significantly decreased by 59%, 15%, 26%, 47%, and 22%, respectively. |
| WOS关键词 | TOTAL ELECTRON-CONTENT ; MODEL ; SATELLITE |
| 资助项目 | National Natural Science Foundation of China (NSFC)[41761134092] ; Jiangsu Province Distinguished Professor Project[R2018T20] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000519158200001 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project ; National Natural Science Foundation of China (NSFC) ; National Natural Science Foundation of China (NSFC) ; Jiangsu Province Distinguished Professor Project ; Jiangsu Province Distinguished Professor Project |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/56446]  |
| 专题 | 中国科学院国家天文台 |
| 通讯作者 | Jin, Shuanggen |
| 作者单位 | 1.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.German Aerosp Ctr, Inst Commun & Nav, D-17235 Neustrelitz, Germany 4.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yuan, Liangliang,Jin, Shuanggen,Hoque, Mainul. Estimation of LEO-GPS receiver differential code bias based on inequality constrained least square and multi-layer mapping function[J]. GPS SOLUTIONS,2020,24(2):12. |
| APA | Yuan, Liangliang,Jin, Shuanggen,&Hoque, Mainul.(2020).Estimation of LEO-GPS receiver differential code bias based on inequality constrained least square and multi-layer mapping function.GPS SOLUTIONS,24(2),12. |
| MLA | Yuan, Liangliang,et al."Estimation of LEO-GPS receiver differential code bias based on inequality constrained least square and multi-layer mapping function".GPS SOLUTIONS 24.2(2020):12. |
入库方式： OAI收割
来源：国家天文台
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