针对目前对于随机模型联合定权方面没有太多研究的现状,该文以全球定位系统/格洛纳斯卫星导航系统的实测数据为例进行了实验分析。对比分析了等方差随机模型、基于高度角的随机模型和基于信噪比的信号强度随机模型,并由此提出高度角与基于信噪比的信号强度相联合的随机模型。结果表明:该模型与等方差随机模型相比,提高了精密单点定位的精度,同时也优于基于高度角和基于信噪比的信号强度随机模型。
Stochastic models have important influence on GPS/GLONASS combination of precise point positioning (PPP). This paper analyzed the random variance model, stochastic model based on altitude an- gle and stochastic models based on the SNR of signal strength, and then put forward altitude angle and combined stochastic model based on the SNR of signal strength by carrying on the experimental analysis with the data of GPS/GLONASS. Results showed that the combined model significantly improved the pre- cise point positioning accuracy comparing to the random variance model, which was better than the sto- chastic models that based on the altitude angle and based on the SNR of signal strength as well.