卡尔曼滤波方法的BDS/GLONASSRTK定位算法

针对单系统RTK定位精度以及稳定性不足的问题,该文提出了BDS、GLONASS双系统联合RTK定位方法,通过对双系统进行时空基准统一,基于附加模糊度参数的卡尔曼滤波函数模型双系统RTK定位算法的研究,开发了BDS/GLONASS双系统RTK定位程序,对超短基线、短基线实测数据进行计算,并且与GPS系统结果进行比对。实验结果表明,BDS、GLONASS、BDS/GLONASS这3种模式定位精度虽稍逊于GPS,但也能够达到厘米级精度,从而提供高精度的定位服务。

BDS/GLONASS RTK location algorithm based on Kalman filtering method

Aiming at problems of single system RTK positioning accuracy and stability,BDS and GLONASS dual system co-RTK positioning method was proposed,which was based on the Kalman filter function model of dual system,and the dual system RTK based on the additional ambiguity parameter was used to solve the problem of single system RTK positioning accuracy and stability.Localization algorithm,the BDS/GLONASS dual system RTK positioning program was developed,and the short baseline and short baseline measured data were calculated and compared with the GPS system results.The experimental results showed that positioning accuracy of BDS,GLONASS,BDS/GLONASS three modes was inferior to GPS,which achieved centimeter-level accuracy and provided high-precision positioning services.