复杂环境GNSS实时亚厘米级监测算法设计及性能分析
Algorithm design and performance analysis of GNSS real-time sub-centimeter monitoring under complex environments
邓文昊 1张小红 1吴明魁 2刘万科 1文锐 1王昊1
作者信息
- 1. 武汉大学 测绘学院,武汉 430079
- 2. 中国地质大学(武汉) 地理与信息工程学院,武汉 430074;自然资源部 地质灾害智能监测与风险预警工程技术创新中心,北京 100081
- 折叠
摘要
针对复杂监测场景下,由于卫星信号遮挡严重、多路径效应强、粗差和周跳频繁而造成观测数据质量差,严重影响全球卫星导航系统(GNSS)实时监测的精度、可靠性和可用性的问题,提出一种复杂环境下的GNSS实时亚厘米级监测算法:综合利用监测体的变化特征,从观测数据质量控制、滤波过程噪声自适应调节、GNSS解算短时中断后快速恢复等方面着手,设计一套适用于复杂环境的GNSS地质灾害实时高精度监测数据处理算法;并采用实测与仿真短基线数据评估算法性能.结果表明,在复杂观测场景下,提出的复杂环境GNSS监测算法能够实现实时亚厘米级定位精度,有效解决GNSS解算短时中断后的快速恢复问题,并能准确识别监测体的快速形变.
Abstract
Aiming at the problem that severe signal occlusion and multipath effect in complex monitoring environment will result in poor observation quality due to frequent gross errors and cycle slips,leading to a degradation in the accuracy,reliability,and availability of GNSS real-time monitoring,the paper proposed an algorithm of GNSS real-time sub-centimeter monitoring under complex environments:a GNSS data processing algorithm was designed for real-time and high-precision monitoring of geological hazard under complex observational environments,considering the variation characteristics of the monitoring object,from the aspects of real-time quality control of observations,adaptive adjustment of filter process noise,and rapid recovery after short interruption of GNSS solution,etc.;morevoer,the performance of the proposed algorithm was evaluated with infield and simulated short baseline experiments. Results showed that the proposed deformation monitoring algorithm for complex environment could realize the real-time positioning accuracy of sub-centimeter level,efficiently solve the problem of rapid recovery after short-time interruption of GNSS solution,and accurately identify the rapid deformation of the monitoring object.
关键词
全球导航卫星系统(GNSS)地质灾害监测/实时动态(RTK)定位/复杂环境/卡尔曼滤波/模糊度固定Key words
global navigation satellite system (GNSS) geological hazard monitoring/real-time kinematic (RTK) positioning/complex environment/Kalman filter/ambiguity resolution引用本文复制引用
基金项目
国家重点研发计划项目(2021YFC3000501)
武汉市知识创新专项-基础研究项目(2023010201010098)
自然资源部地质灾害智能监测与风险预警工程技术创新中心开放基金项目(TICGM-2023-02)
出版年
2024
NETL
NSTL
万方数据