一种适于Compass周跳探测的三频数据优化组合

Optimal Multi-frequency Data Combination for Compass Cycle Slip Detection and Reparation

  • 摘要: 根据多频数据组合原理,推导了组合观测值电离层比例因子与噪声比例因子的关系,分析了Compass码和相位的多种可能组合,从中选取3种线性无关的优化组合作为周跳检验量。所选检验量保持了周跳的整数特性,便于准确估计与修复周跳。利用Compass-M1实测数据进行的实验表明,基于优化组合可以探测出1周以上的所有周跳,在缺失历元较少和无电离层异常时可以准确估计与修复基本频率的周跳。

     

    Abstract: Based on multi-frequency data combination theory,the relation between ionosphere scale factor and noise scale factor of combined observation was derived.Lots of possible combinations of Compass codes and carrier phases were analyzed,from which three linear independent optimal combinations were selected as cycle slip test quantities.These quantities keep cycle slips as integers and are helpful to accurately estimate and repair them.Experiment based on real Compass data shows that,by using the selected optimal test quantities,all cycle slips greater than 1 cycle can be detected.And cycle slips on basic frequencies can be accurately estimated and repaired,if data gap was not so long and ionosphere is quiet.

     

/

返回文章
返回