基于大气误差参数估计的中长基线RTK解算

RTK solution of medium and long baselines based on Atmospheric error Parameter estimation

短基线RTK解算中,流动站与基准站的误差空间相关性强,通过站间星间双差后基本可以消除,然而,在中长基线条件下,流动站与基准站误差空间相关性较弱,其双差后残差较大(主要为电离层和对流层残余误差),为了实现中长基线RTK定位,文章以双差非组合观测量为基础,在估计流动站位置和双差模糊度的同时,将相对对流层延迟、相对电离层延迟两项大气误差也作为参数进行同步估计。基于实测数据对该算法进行分析,结果表明:该方法能提高中长基线模糊度固定成功率,有效改善定位性能。

In the short baseline RTK solution,the error spatial correlation between the mobile station and the reference station is strong,which can be basically eliminated by the double difference between the stations.However,under the condition of medium and long baseline,the spatial correlation between the mobile station and the reference station is weak.The residual error after double error is big(mainly ionospheric and tropospheric residual error).In order to realize the positioning of medium and long baseline RTK,this paper is based on the double difference non-combined observation,while estimating the position of the flow station and the ambiguity of the double difference.The relative tropospheric delay and the relative ionospheric delay are also used as parameters for synchronous estimation.Based on the measured data,the algorithm is analyzed,and the results show that the method can improve the fixed success rate of medium and long baseline ambiguity and effectively improve the localization performance.