基于双差GPS Kalman滤波的方法实时动态监测水汽变化

Real-time dynamicly monitor the changes in water vapor based on double difference GPS-Kalman filtering approach

基于双差模型的地基GPS反演水汽法通常滞后时间一般为1～2h,而基于非差精密单点定位技术,由于目前无法解决卫星钟差问题,基本也是事后处理模式,且通常反演的水汽时间分辨率较低。研究基于双差GPS卡尔曼滤波的方法实时动态监测水汽变化,采用西安地区地面沉降监测网的数据并利用双差网解的方法和精密单点定位程序,验证了该算法的有效性。

Based on double-difference model of ground-based GPS to invert water vapor, usually lag time is about 1-2 hours, while the difference based on non-difference precise point positioning technology, currently it can not resolve the problem of satellite clock and is processed by post-processing mode, and usually invert water vapor of low resolution. For this, the paper presents, based on double difference GPS-Kalman filtering method, real-time dynamic monitoring of water vapor changes, and uses land subsidence mo- nitoring network in Xi＇an data to validate the effectiveness of the algorithm.