基于伪距相位和STPIR组合的北斗三频周跳探测与修复

GNSS周跳探测中,电离层残差法的适用性受数据采样间隔的影响较大,同时联合其它组合观测量进行周跳修复时,周跳修复方程组易出现病态解。针对这些问题,文中提出一种可靠的北斗三频周跳探测与修复算法,通过构造北斗三频电离层残差组合观测量,进行二阶历元间差分,基于三频伪距相位组合优选理论,选取适用于北斗三频数据的伪距相位组合,结合两种组合观测量,优选条件数较小的组合系数矩阵进行周跳修复,最后通过北斗三频实测数据验证,结果表明:在数据采样间隔较大的情况下,利用构建的三个组合观测量可以探测出北斗三频原始数据中的所有周跳,具有很好的修复效果。

BDS triple-frequency cycle-slip detection and repair based on Code-Phase and STPIR

T he applicability of the ionosphere residual method is influenced by the observation interval in the GNSS cycle‐slip detection .The ill‐posed solution often occurs in the cycle‐slip repair equations combined with other combinations .To solve those problems ,a reliable cycle‐slip detection method is proposed for BDS triple‐frequency measurement .The method constructs a second‐order time‐difference phase ionosphere residual combination measurement ,and then ,selects a code‐phase combination suitable for BDS triple‐frequency .Combining with two kinds of combination ,this paper repairs the cycle‐slip with combination coefficient matrix w hich has small condition number .Finally ,BDS triple‐frequency data have been used to validate the algorithm ,and the experimental result indicates that the method proposed in this paper can effectively detect and repair all cycle‐slip even in the large observation interval .