一种适用于长基线的改进CIR算法

An improved CIR for long baseline

长基线下,受伪距多径和电离层残差影响,传统的CIR法解算载波相位宽巷模糊度时某些历元无法得到正确的结果,基础载波模糊度的搜索范围也较大。分析了CIR法的模糊度误差,提出了基于载波相位平滑伪距并且消除电离层时延的改进的CIR算法,分析了其误差方差,最后利用Compass系统实测数据对短基线和长基线两种情况下CIR法和改进CIR法的解算结果进行比较。实测数据表明,本文提出的算法能够单历元解算超宽巷模糊度和宽巷模糊度,并且能够大大缩小基础载波模糊度的搜索空间。

At long baseline, for muhipath and ionospheric residual bias, classical CIR can get wrong ambiguity resolution at some epoch, and requires a large search area on basic carrier. In this research, ambiguity errors of CIR were analyzed, and an approach to improved CIR based on carrier phase smoothing pseudorange and eliminating ionosphere delay is presented and errors variance was analyzed. Finally, CIR and improved CIR were compared at both short and long baseline by compass measured datum. The result shows that improved CIR can obtain correct double difference extra wide lane ambiguity and wide lane ambiguity on one epoch, and reduce the search area on basic carrier ambiguity.