测绘通报 ›› 2024, Vol. 0 ›› Issue (11): 147-150.doi: 10.13474/j.cnki.11-2246.2024.1125

• 技术交流 • 上一篇    

一种适用于大规模基准站网的北斗系统多路径误差建模方法

陈敬1, 王贻朋2, 麦建开3, 李琪4, 张永峰5   

  1. 1. 广东省国土资源测绘院, 广东 广州 510500;
    2. 中石化石油工程地球物理有限公司北斗运营服务中心, 江苏 南京 211100;
    3. 广东省测绘工程有限公司, 广东 广州 510500;
    4. 武汉攀达时空科技有限公司, 湖北 武汉 430079;
    5. 武汉大学卫星导航定位技术研究中心, 湖北 武汉 430079
  • 收稿日期:2024-03-22 发布日期:2024-12-05
  • 通讯作者: 麦建开,E-mail:258140042@qq.com
  • 作者简介:陈敬(1977-),男,高级工程师,主要从事卫星导航定位和大地测量研究工作。E-mail:84859605@qq.com
  • 基金资助:
    广东省重点领域研发计划(2023B1111050013);广东省科技计划(2021B1212100003);湖北省技术创新计划重点研发专项(2023BAB068)

A method for modeling multipath errors in the BeiDou system for large-scale reference station networks

CHEN Jing1, WANG Yipeng2, MAI Jiankai3, LI Qi4, ZHANG Yongfeng5   

  1. 1. Guangdong Provincial Institute of Land and Resources Surveying and Mapping, Guangzhou 510500, China;
    2. Sinopec BDS Operation Service Center, Nanjing 211100, China;
    3. Guangdong Surveying and Mapping Engineering Co., Ltd., Guangzhou 510500, China;
    4. Wuhan Panda Space & Time Technology Co., Ltd., Wuhan 430079, China;
    5. GNSS Research Center, Wuhan University, Wuhan 430079, China
  • Received:2024-03-22 Published:2024-12-05

摘要: 多路径效应与测站观测环境相关,无法利用差分的方式消除或削弱,是影响GNSS数据处理精度、服务性能的重要因素。北斗系统设计由高-中-低轨多类卫星组成,为降低卫星轨道重复周期差异性的影响,基于空间域建模的多路径误差半天球格网点模型(MHGM)是一种较为有效的解决方案。由于MHGM方法存在待估参数较多、内存和CPU等计算资源占用量较大的问题,一般不适用于大规模测站的多路径误差建模。本文研究一种基于公共站点的分区建模方法,实现了大规模基准站网的多路径误差快速有效模型化,并利用广东省北斗地基增强系统221个基准站的观测数据验证了本文方法的有效性。测试结果表明,无须安装额外的硬件设备,即可将现有广东省北斗地基增强系统的服务性能提升11.2%。这对于提升北斗系统数据处理服务的精度和可靠性,具有一定的科学研究和工程应用价值。

关键词: 北斗系统, 大规模基准站, 多路径误差, 半天球格网点模型

Abstract: Multipath effects in global navigation satellite system (GNSS) observations are environment-dependent and cannot be eliminated or mitigated through differential methods. They significantly impact the accuracy of GNSS data processing and service performance. The BeiDou system comprises satellites in high, medium, and low Earth orbits. To mitigate the impact of orbit repetition differences among satellites, the multi-point hemispherical grid model (MHGM) based on spatial domain modeling presents an effective solution. However, due to the MHGM method's high number of parameters for estimation and its demand for substantial computational resources such as memory and CPU, it is generally unsuitable for modeling multipath errors in large-scale reference station networks. This paper investigates a partitioning modeling method based on public stations, achieving rapid and effective modeling of multipath errors in large-scale reference station networks. The effectiveness of this approach is validated using observation data from 221 reference stations of the BeiDou ground-based augmentation system in Guangdong province. Test results demonstrate a service performance enhancement of 11.2% for the existing system in Guangdong province, without requiring additional hardware installation. This research holds scientific and engineering significance in improving the accuracy and reliability of data processing services in the BeiDou system.

Key words: BeiDou system, large-scale reference stations, multipath errors, multi-point hemispherical

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