GPS掩星与探空观测统计比较中配对标准的比较研究

Research on the Collocation Criteria in the Statistical Comparisons of GPS Radio Occultation and Radiosonde Observations

  • 摘要: 建立了直线道路和曲线道路的约束条件方程,给出了附有道路轨迹约束条件的卡尔曼滤波公式,提出了约束条件下的模糊度分解算法。本文算法中模糊度的浮点解由约束卡尔曼滤波器获得,而模糊度整数解由LAMBDA算法完成。车载GPS试验结果表明,附加轨迹信息约束的卡尔曼滤波方法可以有效地提高模糊度浮点解的精度,使得运动中整周模糊度的分解速度和成功率得到显著提高。

     

    Abstract: When verifying the precision of atmospheric parameter profiles obtained with GPS radio occultation (RO) technology with radiosonde observations,the collocation criterion should reasonable. The impacts of different collocation criterias on the statistical comparisons of GPS RO and radiosonde observations were studied. The time difference between the two types of observations are set to be 1 h,2 h,and 3 h. The distance differences are set to be 100 km,200 km,and 300 km,respectively. Different combinations of time differences and distance differences lead to 9 collocation criteria in total. Collocated GPS RO and radiosonde refractivity profiles are got and statistically compared with the 9 different collocation criterias,respectively. The results show that the variation of time differences and distance differences have little impact on the total refractivity mean relative deviation.

     

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