BDS/GPS系统时差的组合实时预报模型分析

构造适用于BDS/GPS系统时差的多项式预报模型,对二次项参数选取、显著周期项确定以及观测权函数选择等进行改进。基于AR模型,进一步构建多项式和AR模型的组合时差预报方法。算例显示,新模型的单天时差预报精度优于0.4ns,显著优于其他传统方法。

Analysis of Combined Real-time Predicting Model of BDS/GPS System Time Offset

Based on an explanation of the definition of GNSS system time offsets, we build a polynomial predicting model that is suitable for BDS/GPS system time offsets. Some improving measurements, such as selecting the quadratic term parameter, determining a few prominent periodic terms and choosing the weight function of observations, are applied to above model. Simultaneously, on the basis of the predicting characteristics of AR model, we build the combined time offsets predicting method of the polynomial and AR models further. 〖JP2〗The results of simulations show that the single day predicting precision of the new model is superior by 0.4ns, which is significantly better than other traditional methods