STATISTIC ANALYSIS ON GPS BASELINE ESTIMATED BY RAPID ALGORITHM
Wang Aisheng 1,2,3) ;Ou Jikun 1) ;Yang Rengui 1) ; and Zhan Jiamin 2)
1)Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 4300772)School of Geodesy and Geomatics, Xuzhou Normal University, Xuzhou 2211163)The Graduate School of Chinese Academy of Science, Beijing 100049
Abstract The rapid GPS baseline determination principle based improved TIKHONON regularization method using GPS single epoch observations is discussed, a baseline data was observed at same session in adjacent two days is computed using two kinds algorithm, single epoch algorithm and static algorithm. The static result is recognized as most probability value, the differences between single epoch value and most probability value are calculated, which created time series of baseline vector offsets, whose distribution is tested, whose crosscorrelation and autocorrelation are determined using the time series analyses software Eviews. The conclusions are derived that 1) Offsets are distributed normally, whose means are smaller than 1mm, which suggest that no notable system error existed, or system error is balanced in time series; 2)The standard deviation is smaller than ±5 mm, which suggest that single epoch result precision is good; 3)The crosscorrelations of X offsets series and Y offsets series are obvious,namely those repeatability is good, which suggest there is multipath error in X or Y offset series; 4) The crosscorrelation of Z offsets series is unconspicuous ,which suggest that the effect of multipath on Z offset is small.