网络RTK基准站间的模糊度及空间相关误差解算  

Ambiguity resolution and spatial relative error estimation between reference stations on RTK network

作　　者：梁霄 杨玲[2] 黄涛 王延兵 

机构地区：[1]上海华测导航技术有限公司,上海201702 [2]同济大学测绘与地理信息学院,上海200092 [3]大庆炼化公司,黑龙江大庆163000

出　　处：《测绘工程》2016年第1期24-28,共5页Engineering of Surveying and Mapping

基　　金：上海市科委科研计划项目(14511105000)

摘　　要：利用载波相位双差观测值的宽巷和无电离层组合固定部分模糊度参数,并采用Kalman滤波算法估计残余的对流层延迟;然后对观测值进行改正,剔除对流层延迟误差,从而提高剩余模糊度参数的固定率;最后估计双差电离层延迟。文中采用美国CORS网的GPS数据进行实验,实验结果表明,自适应滤波算法可明显提高残余对流层延迟的解算精度和模糊度的解算效率;固定模糊度并改正对流层和电离层延迟,差分定位精度得到很大提高。The wide-lane and ionosphere-free combinations are used to partly fix the integer ambiguities.Then,the Kalman filter is applied to compute the residual tropospheric delay.By these,the observations can be further corrected and the ambiguities can be resolved with higher successful rate.Finally,the double different ionospheric delay is calculated.The test data from American NGS-CORS network is used.Test results demonstrate the adaptive filter algorithm can not only improve the accuracy of estimated residual tropospheric delay,but also enhance the efficiency of ambiguity resolution,in order to significantly improve the positioning accuracy.

关 键 词：GNSS 自适应滤波 模糊度 残余对流层延迟 

分 类 号：P228[天文地球—大地测量学与测量工程]