基于先验动力学轨道的星载双频GPS数据预处理

针对星载双频GPS数据预处理中的野值剔除和周跳检测问题，提出了基于先验动力学轨道的星载双频GPS数据预处理方法。与传统GPS数据预处理方法在数据利用上局限于GPS原始观测数据本身不同，该方法还利用了动力学定轨产生的先验轨道信息以及GPS卫星精密轨道、钟差数据，并构造接收机钟差估计量和接收机钟差差分值估计量来剔除野值和探测周跳，提高了野值剔除和小周跳探测能力。对CHAMP卫星在轨实测数据的处理分析表明，该方法可以探测出1周甚至0.5周的周跳，可为高精度定轨提供更“干净”的数据源。

Satellite Borne Dual Frequency GPS Data Pre ProcessingBase on a Priori Dynamics Orbit

For the problem of outlier deletion and cycle-slip detection in satellite-borne dual frequency GPS data pre-processing, a new satellite-borne dual frequency GPS data pre-processing method base on a priori dynamics orbit is proposed. Compared with the traditional GPS data pre-processing method only using the GPS observation data, this method also make use of a priori dynamics orbit and the precise orbit /clock data of GPS satellite to construct estimations of the receiver clock error and the receiver clock error difference in outlier deletion and cycle-slip detection, so it can improve the ability of outlier deletion and cycle-slip detection. Experiments are carried out by using real data of CHAMP to test the method. It’s shown that this method can detect 1 and 0.5 cycle slip, so it can provide cleaner data for high accuracy orbit determination.