CAJ | 학술논문

提出的整形多卡尔曼滤波模型可进行形变的实时检测并提高其可靠性。多卡尔曼滤波模型的扩展主要针对GNSS时间形变序列含有有色噪声的情况，而多卡尔曼滤波模型只能应用于白噪声的情况下，故采用整形滤波扩展多卡尔曼滤波模型去除有色噪声的影响。提出的模型可以提高结果的精度且实时进行变形监测，可用于灾害预警系统。通过对比该模型与其他模型(卡尔曼滤波模型，整形卡尔曼滤波模型，多卡尔曼滤波模型)发现，所改进的模型在检测形变的实时性和可靠性方面优于其他模型。
제출적정형다잡이만려파모형가진행형변적실시검측병제고기가고성。다잡이만려파모형적확전주요침대GNSS시간형변서렬함유유색조성적정황，이다잡이만려파모형지능응용우백조성적정황하，고채용정형려파확전다잡이만려파모형거제유색조성적영향。제출적모형가이제고결과적정도차실시진행변형감측，가용우재해예경계통。통과대비해모형여기타모형(잡이만려파모형，정형잡이만려파모형，다잡이만려파모형)발현，소개진적모형재검측형변적실시성화가고성방면우우기타모형。
In order to detect the deformation in real-time of the GPS time series and improve its reliability, the multiple Kalman filters model with shaping filter was proposed. Two problems were solved: firstly, because the GPS real-time deformation series with a high sampling rate contain coloured noise, the multiple Kalman filter model requires the white noise, and the multiple Kalman filters model is augmented by a shaping filter in order to reduce the colored noise; secondly, the multiple Kalman filters model with shaping filter can detect the deformation epoch in real-time and improve the quality of GPS measurements for the real-time deformation applications. Based on the comparisons of the applications in different GPS time series with different models, the advantages of the proposed model were illustrated. The proposed model can reduce the colored noise, detect the smaller changes, and improve the precision of the detected deformation epoch.