中文摘要：

针对常规RTK作业距离一般不超过15km的问题,提出了一种顾及大气延迟误差的中长基线RTK的算法,突破了常规RTK作业距离。在中长基线情况下,与大气延迟有关的误差如电离层延迟误差、对流层延迟误差等,随着基线长度的增加,空间相关性大大降低,进而影响整周模糊度的快速解算。基于卡尔曼滤波算法,采用非组合差分定位模型,对于电离层延迟误差采用了电离层加权模型进行估计,对于对流层延迟分别采用了相对对流层延迟参数估计和绝对天顶对流层参数估计。最终通过实测数据对该算法进行了算法验证和结果分析。试验结果表明：该算法可以实现中长基线RTK的快速解算,并且在估计相对对流层延迟时,绝对天顶对流层参数估计不利于基准站和流动站的对流层延迟分离,一般采用估计流动站上的相对对流层延迟。

英文摘要：

The problem of the conventional RTK operation distance is not more than 15 KM,In this paper,a new algorithm of RTK,which takes into account the atmospheric delay errorwas proposed,which breaks the conventional RTK operating distance.In the medium distances baseline,the distance-dependent errors such asionospheric delay error,tropospheric delay errors,etc.,spatial correlation of which is greatly reduced with increasing the baseline length,thereby affecting the rapid solution of ambiguity.Therefore,the impact of these errors should be considered in themedium distance baseline model.This report is based on the Kalman filter algorithm by using non-combined differential positioning model,and estimating the ionospheric delay error with a weighted ionosphere model.Regarding to tropospheric delay the report consider relative tropospheric delay parameter estimation and absolute zenith troposphere parameter estimation.Final we use measured data prove the algorithm algorithm verification and analysis of results.Test results show that：the algorithm can achieve fast solution in medium distance baseline RTK,and estimate the relative tropospheric delay,the absolute zenith troposphere parameter estimation is not conducive to the base station and rover tropospheric delay separation,generally by using rover relative tropospheric delay to estimate.