基于抗差估计的网络RTK基站双差模糊度检验与修正方法

Double integer ambiguities test and repair method for network RTK base stations based on robust estimation

针对网络RTK基站模糊度固定检验中的第二类"纳伪"错误,提出了基于抗差估计的模糊度检验,并且使用改正数V进行模糊度修正的方法。该方法首先在模糊度初始化后,使用抗差估计进行单历元基线解算,并且与已知精确坐标比较确定模糊度总体是否解算成功,在整体解算成功后,使用改正数V的平均值判断是否有单个模糊度固定错误。如果有固定错误的,对改正数V的平均值进行逐个检验,并使用未通过检验的改正数V的平均值修正无电离层组合,联合宽巷组合修正模糊度修正L1和L2模糊度。实验证明,该方法能有效地对模糊度检验中的第二类"纳伪"进行检验和修正。

In view of the type II errors in the Network RTK base station double integer ambiguities test,a new test method based on robust estimation was given,and the residuals V from the estimation was used to repair the ambiguities.The method uses a robust estimation to resolve the single-epoch baseline after the ambiguities was initialized,and confirm whether the differentials were less than the threshold value by comparing the differentials with the true coordinates.After the ambiguities passed the whole test,the mean values of residuals V was used to find the failed mean values of residuals V,and then repaired the ion-free ambiguities of the failed mean values,combined the wide-lane ambiguities to repair the L1 and L2 ambiguities.The computed results of the test show that this test and repair method is effective for the type II errors.