对流层时间序列的Kalman滤波组合方法  

Research on the Combination of Troposphere Time Series with Kalman Filtering

作　　者：李敏[1] 徐天河[2,3,4] 

机构地区：[1]长安大学地质工程与测绘工程学院,西安710054 [2]地理信息工程国家重点实验室,西安710054 [3]宇航动力学国家重点实验室,西安710043 [4]西安测绘研究所,西安710054

出　　处：《导航定位学报》2015年第3期79-84,共6页Journal of Navigation and Positioning

基　　金：国家自然科学基金(41174008);宇航动力学国家重点实验室开放基金(2014ADL-DW0101)

摘　　要：由于目前IGS提供的对流层最终产品滞后约一星期到四星期,即使是超快速产品也滞后约3小时,这严重影响了目前实时气象的应用与需求,而且对流层产品的连续和实时组合的相关研究较少,大多集中在欧洲的试点项目。基于此,本文主要研究了一种对流层时间序列的短期高精度连续组合方法,利用各个分析中心给出的对流层时间序列,利用抗差Kalman滤波和最小二乘方差分量估计的原理,进行GPS或VLBI的短期时间序列的实时的或事后的连续组合。先估计各个分析中心产品偏差,同时计算出其权因子,然后利用Kalman滤波技术进行产品组合可以获得滞后的或实时的组合解及其标准差,组合解的平均精度达到0.85 mm。as the final troposphere products provided by IGS were delayed for at least one week,even though the ultro-rap-id products also delayed for three hours,they all affected the real-time meteorological application,and also it’s rare to see the research papers on sequential or real-time combination for troposphere time series,most were focused on the experimental pro-jects in Europe.Thus,on this paper the method of high precision and sequential combination for short-term troposphere time series provided by several analysis centers was discussed in detail,with the technique of robust Kalman filter and least-squares variances component estimation,a real-time or lagging sequential combination of GPS or VLBI short-term time series can be manipulated.First the bias and weight factor for each analysis center solution were estimated,and then the combined solution and its standard deviation can be obtained by Kalman filtering,the average accuracy can approach 0.85mm.

关 键 词：对流层 时间序列 组合 抗差Kalman滤波 最小二乘方差分量估计 

分 类 号：P228[天文地球—大地测量学与测量工程]