卡尔曼滤波在VLBI数据处理中的应用

本文探讨卡尔曼滤波技术用于VLBI天体测量和大地测量数据处理的原理和方法；并深入地对Herring等提出的软件系统（SOLVK）进行详细研究，提出一些具体的办法以便应用．然后用1993—1994年的VLBI观测资料，精确计算了几种天文学和地球动力学参数作为例证．

THE APPLICATION OF KALMAN FILTERING IN DATA PROCESSING OF VLBI

The principles and practical method of the application of Kalman filtering in thedata processing of VLBI astrometry and geodesy are investigated in this paper.Especially, we study in deadals Hening's software system SOLVK, which isconstructed by means of the Kalman filtering technique. Based on the softwaresystems SOLVK and CALC (the latter being the software for calculation of thetheoretical values in VLBI data processing), a whole system of software for VLBI hasbeen established at the SUN station of Naming University (named as NUVP). Then,according to the data of VLBI observatories belonging to the Intemational NetworksIRIS-A and NOES-A in the bine interval 1993-1994, a number of Paraxneters ofastronomy and geodynamics can be calculated by using NUVP. The precisions (meansquare errors) of the calculated quantities are f (1) The bine delay and its rate are15.6ps and 0.1692ps / s, respectively; (2) The lengths of 6 baselines among 4 VLBIobservatories on different plates are less than 3nun; (3) The EOP paraters (in 1994),i.e. x, y, UT1, d and dE are 0.11mas, 0.09mas, 0.005mas, 0.19mas and 0.08mas,respectively. (4) The right ascensions and declinations of 28 fundamental radio sourcesare 0.02ms and 0.18mas, respectively.