一种基于模型转换的GLONASS历书预报算法

通过对GLONASS历书预报算法的研究,提出了一种基于模型转换的GLONASS历书预报算法. 该算法采用最小二乘估计方法将一天内的GLONASS卫星精密轨道数据拟合成一组轨道根数,采用建立的历书转换模型将该组轨道根数转换成GLONASS历书参数. 采用STK(satellite tool kit)软件产生的精密轨道数据对该算法进行了验证. 同时将该算法应用于GLONASS导航信号模拟器并用JAVAD 112T商用接收机进行长时间的实测. 结果表明,该算法简便、有效且准确度高,完全满足导航用户对历书预报精度的需求. 

Prediction Algorithm of GLONASS Almanac Based on a Model Conversion

The prediction of GLONASS almanac is one of the key techniques of the production of the navigation message. By research the prediction algorithm of GLONASS almanac, a new prediction algorithm of GLONASS almanac based on a model conversion was presented. This algorithm uses the GLONASS precise orbit data of one day to fit a group of orbital elements with the least square estimation method. And then this group of orbital elements was converted to the GLONASS almanac parameters using an established almanac model conversion. Finally this algorithm has been validated through the precise orbit data generated by STK (satellite tool kit). Meanwhile, this algorithm was applied to the GLONASS navigation signal simulator, and the navigation signal was measured practically for long time using the 112T commercial receiver. The results show that the algorithm is simple and highly accurate, which can fully meet the almanac prediction accuracy requirement of navigation user.