期刊文献+

基于BDS/GPS观测的北斗硬件延迟解算 被引量:2

BDS Differential Code Bias Estimating Based on BDS/GPS Observations
下载PDF
导出
摘要 研究了联合BDS/GPS观测数据基于球冠谐函数的中国区域电离层建模,并精确估计了北斗卫星和接收机DCB。联合解算得到的GPS卫星DCB相对CODE精度优于0.2 ns,GPS接收机DCB相对CODE精度优于1 ns;联合解算得到的中国区域上空VTEC相对CODE事后产品的精度可达2~3 TECU。 The regional ionosphere modelling is reseached to esitimate the BDS differential code bias based on the spherical cap harmonic methods in this paper. Using GPS/BDS combined obervations,the estimated GPS differential code bias and ionospheric parameters are more accurate,in which the GPS satellite differential code bias is better than 0.2 ns and GPS receiver differential code bias is better than 1 ns compared with the CODE post-processing values. Meanwhile,compared with that of the estimated ionospheric models with the CODE post-processing model,estimated VTEC over China continent reaches about 2 ~ 3 TECU.
作者 房成贺 陈俊平 兰孝奇 张磊 FANG Chenghe1,2;CHEN Junping3;LAN Xiaoqi4;ZHANG Lei5(1. GNSS System Engineering Center, China Academy of Aerospace Electronics Technology, Beijing 100094, China; 2. Test and Assessment Research Center, China Satellite Navigation Office, Beijing 100094, China; 3. Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China; 4. School of Earth Science and Engineering, Hohai University, Narding 211100, China; 5.Nanjing Technical Vocational College, Nanjing 210019, Chin)
出处 《测绘科学技术学报》 CSCD 北大核心 2018年第1期32-37,共6页 Journal of Geomatics Science and Technology
关键词 BDS/GPS组合 区域电离层建模 球冠谐函数 硬件延迟 垂直总电子含量 BDS/GPS regional ionosphere modelling spherical harmonic thnction ditterential code bias VTEC
  • 相关文献

参考文献11

二级参考文献70

  • 1袁运斌,欧吉坤.广义三角级数函数电离层延迟模型[J].自然科学进展,2005,15(8):1015-1019. 被引量:18
  • 2李成钢,黄丁发,袁林果,周乐韬,徐锐.GPS参考站网络的电离层延迟建模技术[J].西南交通大学学报,2005,40(5):610-615. 被引量:22
  • 3Blanch J. Using Kriging to Bound Satellite Ranging Errors Due to the Ionosphere[D]. California.. Stanford University, 2003.
  • 4Chao Y C. Real Time Implementation of the Wide Area Augmentation System for the Global Positioning System with Emphasis on Ionospheric Modeling[D]. California: Stanford University, 1997.
  • 5Hansen A J. Tomographic Estimation of the Ionosphere Using Terrestrial Sensors [D]. California: Stanford University, 2002.
  • 6Sehaer S, Beutler G, Rothacher M, et al. Daily Global Ionosphere Maps Based on GPS Carrier Phase Data Routinely Produced by the CODE[C] IGS 1996 Analysis Center Workshop, Switzerland, 1996.
  • 7Brown R G, Hwang P Y C. Introduction to Random Signals and Applied Kalman Filtering[M]. Toronto: John Willey & Sons, 1997.
  • 8Liu Z Z. Ionosphere Tomography Modeling and Applications Using Global Positioning System(GPS) Measurements [D]. Calgary: University of Calgary, 2003.
  • 9Chui C K, Chen G R. Kalman Filtering with Real- Time Applications [ M]. New York: Springer-Verlag, 2008.
  • 10Simon D. Kalman Filtering with State Equality Constraints[J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 39(1): 128-36.

共引文献163

同被引文献10

引证文献2

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部