摘要
主要研究了相对定位数学模型和数据预处理方法,分析了GNSS观测的主要误差源及处理办法,建立了Kalman滤波的实时参数估计方法和模糊度固定解算技术;研究了基于Kalman滤波的形变信息提取技术,建立了Kalman滤波平滑降噪数学模型,对基于不同平滑降噪因子的平滑效果进行了分析;以天津悦雅国际某高层建筑监测项目为例,结合天津市二等水准成果和天津CORS站点稳定性分析成果,验证基于CORS的高层建筑物三维形变监测方法的正确性。
In this paper,the relative positioning of the mathematical model and data preprocessing is studied,the main error sources and approaches GNSS observations is analysed for establishing real-time Kalman filter parameters esti-mation method and ambiguity fixing solving technology. The Kalman Filtering deformation information extraction technol-ogy is analysed,the establishment of Kalman filtering noise smoothing mathematical model is built,the smoothing the effect of different smoothing noise factor on the smoothing is analysed. Based on the GNSS data on a high building in Tianjin Yueya International,the mathematical model of the project and the correctness of the calculation software is veri-fied,and the Kalman filter smoothing noise factors is selected and some useful attempts and suggestions are concluded.
出处
《城市勘测》
2015年第2期83-85,共3页
Urban Geotechnical Investigation & Surveying
基金
国家自然科学基金青年科学基金项目(41304030)
关键词
GNSS
高层建筑
形变监测
CORS
卡尔曼滤波
GNSS
CORS
GNSS
high-rise buildings
deformation Monitoring
CORS
kalman filter
