CAJ | 학술논문

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Kal-man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。
주요연구료상대정위수학모형화수거예처리방법，분석료GNSS관측적주요오차원급처리판법，건립료Kal-man려파적실시삼수고계방법화모호도고정해산기술；연구료기우Kalman려파적형변신식제취기술，건립료Kalman려파평활강조수학모형，대기우불동평활강조인자적평활효과진행료분석；이천진열아국제모고층건축감측항목위례，결합천진시이등수준성과화천진CORS참점은정성분석성과，험증기우CORS적고층건축물삼유형변감측방법적정학성。
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.