基于宽巷组合模型求解整周模糊度的研究

Research on Integer Ambiguity Resolution Based on Wide Lane Combination Observation Model

传统的最小二乘降相关法(LAMBDA)在求解模糊度时,通常会因观测历元较少而出现法方程秩亏的现象,导致无法成功求解模糊度。针对此问题,提出利用双频宽巷的线性组合观测模型解算模糊度。同时,研究了观测量误差均方差值和OVT检验历元个数对模糊度解算的影响。结果表明,整周模糊度解算成功率受伪距双差观测误差均方差值的变化影响较大,模糊度解算成功率随着检验历元个数增加而增大。

Due to the less number of observation epochs,traditional least-square decorrelation method（LAMBDA）always has a problem of normal equation rank-defect,which leads to unsuccessful ambiguity resolution.To solve this problem, a method of using linear combination of dual-frequency wide lane observation model is proposed for ambiguity resolution.At the same time, the impact of observa- tion error mean square deviation value and the number of OVT inspection epochs on ambiguity resolution is studied.The results show that the success rate of ambiguity resolution is determined by the variation of pseudo range double-difference observation error mean square deviation.As a result,the success rate of ambiguity resolution increases with the increasing of inspection epoch number.