GPS三频非差观测数据周跳的自动探测与改正研究

在GPS三频非差观测数据的处理中,由于伪距噪声的影响,利用原始的伪距和载波相位观测数据估计的模糊度误差比较大,不能用于探测和改正周跳。对原始观测数据进行平滑或适当的组合处理,可降低观测噪声的影响。因此,本文选择合适的经过平滑或组合处理后的观测数据作为探测周跳的检验量,探测并改正单个频点上的周跳。在分析了一般周跳的特点并在研究双频周跳自动探测与改正方法基础上,提出了选取检验量的四条基本原则。最后,依此原则选取了三个观测值组合作为周跳检验量,利用该组检验量实现三频非差观测数据周跳的自动探测与改正。

Automated cycle-slip detection and correction for GPS triple-requency undifferenced observables

In the process of GPS triple frequency observables,the rms of the integer ambiguity isn't fit for detecting and correcting cycle slips for the pseudo-range noise.The noise will be reduced with a simple running average filter or a process of combination for the raw observables.It is recommended that selecting observables after a running average filter or combination as a detection observable can detect and correct cycle slips for single frequency.Four principles are proposed for constructing detection observables and three geometry-free linear combinations are chosen according to these principles.Cycle slips can be detected and corrected for triple-frequency undifferenced observables with these selected detection observables.