基于SUMT修正法的差分码偏差和电离层TEC估计

廖思明; 尚俊娜; 苏明坤

doi:10.11959/j.issn.1000-0801.2025028

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基于SUMT修正法的差分码偏差和电离层TEC估计

研究与开发 | 更新时间：2025-04-24

- 基于SUMT修正法的差分码偏差和电离层TEC估计
- Estimation of differential code bias and ionospheric TEC based on the SUMT correction method
- 电信科学 2025年41卷第3期页码：154-166
- 作者机构：
  
  杭州电子科技大学通信工程学院，浙江杭州 310018
- 作者简介：
  
  [ "廖思明（1999- ），男，杭州电子科技大学通信工程学院硕士生，主要研究方向为导航系统电离层参数估计等。" ]
  [ "尚俊娜（1979- ），女，博士，杭州电子科技大学通信工程学院教授，主要研究方向为卫星导航与组合导航。" ]
  [ "苏明坤（1986- ），男，博士，杭州电子科技大学通信工程学院讲师、硕士生导师，主要研究方向为卫星导航系统与室内定位。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2025028
  中图分类号： TN967.1
- 收稿日期：2024-09-27，
  
  修回日期：2024-12-10，
  
  纸质出版日期：2025-03-20
- 稿件说明：
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廖思明,尚俊娜,苏明坤.基于SUMT修正法的差分码偏差和电离层TEC估计[J].电信科学,2025,41(03):154-166.

LIAO Siming,SHANG Junna,SU Mingkun.Estimation of differential code bias and ionospheric TEC based on the SUMT correction method[J].Telecommunications Science,2025,41(03):154-166.
廖思明,尚俊娜,苏明坤.基于SUMT修正法的差分码偏差和电离层TEC估计[J].电信科学,2025,41(03):154-166. DOI： 10.11959/j.issn.1000-0801.2025028.

LIAO Siming,SHANG Junna,SU Mingkun.Estimation of differential code bias and ionospheric TEC based on the SUMT correction method[J].Telecommunications Science,2025,41(03):154-166. DOI： 10.11959/j.issn.1000-0801.2025028.

摘要

基于球谐函数，实现区域电离层建模，并对区域差分码偏差（differential code bias，DCB）与总电子含量（total electron content，TEC）进行解算。对于格网处垂直总电子含量（vertical total electron content，VTEC）出现的异常值，提出一种序列无约束最小化技术（sequential unconstrained minimization technique，SUMT）修正法进行修正，利用国际全球导航卫星系统服务（International GNSS Service，IGS）网络的6个测站双频观测数据，建立了电离层VTEC区域模型，并估算了31天的卫星频间DCB，将估算值与电离层分析中心中国科学院（Chinese Academy of Sciences，CAS）发布的产品进行对比分析，结果显示：所有的卫星差值都在0.42 ns以内，其中87.5%的卫星差值在0.4 ns以内，78.1%的卫星差值在0.2 ns以内，频间DCB的平均偏差基本小于0.4 ns。此外，估算的全球定位系统（global positioning system，GPS）卫星DCB序列的标准差（standard deviation，STD）值小于0.1 ns。建立了经纬度范围为5°E～25°E、40°N～60°N的电离层区域模型，将VTEC建模结果与CAS发布的全球电离层地图（global ionospheric map，GIM）产品做差比较，结果显示整体时间点的差值均处于4 TECU以内，且超过90%的区域差值在2 TECU以内，表明估算的结果与CAS产品具有良好的一致性。

Abstract

The modeling of the regional ionosphere was implemented based on spherical harmonic functions

and the regional differential code bias (DCB) and total electron content (TEC) were calculated. To correct anomalies in vertical total electron content (VTEC) values at grid points

a sequential unconstrained minimization technique (SUMT) correction method was proposed. Using dual-frequency observation data from six International GNSS Service (IGS) network stations

a regional ionospheric VTEC model was established

and the satellite inter-frequency DCB for one month were estimated. These estimates were compared with the products published by the ionosphere center of the Chinese Academy of Sciences (CAS)

and an accuracy analysis was performed. The results show that all satellite DCB differences were within 0.42 ns

with 87.5% of the differences within 0.4 ns and 78.1% within 0.2 ns. The average deviation of the inter-frequency DCB was generally less than 0.4 ns

and the standard deviation (STD) of the estimated GPS satellite DCB sequence was less than 0.1 ns. A regional ionospheric model with a latitude and longitude range of 5°E～25°E and 40°N～60°N was established. The VTEC modeling results were compared with the GIM products released by CAS

showing that the overall time-point differences were within 4 TECU

with over 90% of regional differences within 2 TECU. The estimated results exhibit good consistency with the CAS products.

关键词

Keywords

references

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