测绘通报 ›› 2026, Vol. 0 ›› Issue (1): 113-121.doi: 10.13474/j.cnki.11-2246.2026.0118

• 学术研究 • 上一篇    下一篇

基于北斗卫星导航系统的KMCORS坐标时间序列分析与三维速度场构建

查文倩1, 陈国平1, 李旺1, 徐东方1, 魏保峰2   

  1. 1. 昆明理工大学国土资源工程学院, 云南 昆明 650093;
    2. 昆明市测绘研究院总工程师办公室, 云南 昆明 650051
  • 收稿日期:2025-05-12 发布日期:2026-02-03
  • 通讯作者: 魏保峰。E-mail:27707648@qq.com
  • 作者简介:查文倩(2000—),女,硕士生,研究方向为GNSS数据处理。E-mail:2082890914@qq.com
  • 基金资助:
    国家自然科学基金(42204030)

KMCORS coordinate time series analysis and 3D velocity field construction based on BeiDou Navigation Satellite System

ZHA Wenqian1, CHEN Guoping1, LI Wang1, XU Dongfang1, WEI Baofeng2   

  1. 1. Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China;
    2. Office of Chief Engineer, Kunming Surveying and Mapping Research Institute, Kunming 650051, China
  • Received:2025-05-12 Published:2026-02-03

摘要: 随着北斗卫星导航系统(BDS)全球组网的完成,其区域服务性能得到显著提升,为基于BDS的区域连续运行参考站(CORS)大地测量应用提供了重要机遇。本文以昆明市及周边地区31个昆明市卫星定位综合服务系统(KMCORS)基准站2022—2024年的观测数据为基础,采用GAMIT/GLOBK软件进行BDS和GPS双系统的基线解算与坐标平差处理,通过对坐标时间序列分析重构,构建了高精度的三维速度场模型。结果表明:①在北(N)和东(E)方向上,BDS和GPS定位精度相当,但在垂直(U)方向上,BDS略逊于GPS;②根据皮尔逊相关系数值得出,BDS站点间表现出更强的空间相关性特征,主成分分析空间滤波方法能够显著提升BDS和GPS坐标时间序列精度;③共模误差改正后,BDS和GPS速度估值趋于一致,平均速率为14.92 mm/a(N)、32.87 mm/a(E)、8.05 mm/a(U)和15.23 mm/a(N)、32.62 mm/a(E)、4.96 mm/a(U)。研究证明,KMCORS的BDS定位精度与GPS持平,可有效应用于城市坐标框架维护和地壳形变监测等领域。

关键词: BDS, KMCORS, 坐标时间序列, 共模误差, 三维速度场

Abstract: With the completion of the global networking of the BeiDou Navigation Satellite System (BDS), its regional service performance has been significantly improved,which provides an important opportunity for the application of BDS-based regional continuous operation reference station (CORS) geodesy.In this study,based on the observation data of 31 Kunming Metropolitan Comprehensive Satellite Positioning Service System (KMCORS) reference stations in Kunming and surrounding areas from 2022 to 2024,baseline resolution and coordinate leveling of the dual systems (BDS and GPS) were performed using GAMIT/GLOBK software,and a high-precision 3D velocity field model was constructed by analyzing and reconstructing the coordinate time series.The results show that: ①The positioning accuracy of BDS and GPS is comparable in the north (N) and east (E) directions,but BDS is slightly inferior to GPS in the vertical (U) direction; ②According to the Pearson correlation coefficient,BDS stations exhibit stronger spatial correlation characteristics,and the spatial filtering method based on principal component analysis significantly improves the accuracy of BDS and GPS coordinate time series; ③The common-mode error of BDS and GPS can be effectively corrected.After correction,the velocity estimates of both systems converge,with average rates of 14.92 mm/a (N), 32.87 mm/a (E), 8.05 mm/a (U) for BDS and 15.23 mm/a (N), 32.62 mm/a (E), 4.96 mm/a (U) for GPS.This study demonstrates that the BDS positioning accuracy of KMCORS is comparable to GPS and can be effectively applied in urban coordinate frame maintenance and crustal deformation monitoring.

Key words: BDS, KMCORS, coordinate time series, common-mode error, 3D velocity field

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