GNSS网规模的不断增大和多系统、多频率数据的日益增加，给GNSS数据处理与分析及应用带来了很多机遇与挑战。整体快速解算大规模GNSS网多系统三频数据，不仅能获得更为稳定、可靠的精密轨道、钟差等产品，还能获取严密精确的坐标估值和协方差信息。然而，目前大规模GNSS网多系统三频数据整体处理难以严密快速实现，限制了大规模、多系统GNSS网的应用水平和服务能力。为此，本项目拟提出相位频间偏差估计新方法，以改善与钟差等参数的自洽性；突破顾及北斗轨道误差的三频单站模糊度固定关键技术，构建可靠的高精度距离观测值；拓展基于高精度距离观测值的三频数据快速严密处理模型，并引入计算机并行算法，进一步提高计算效率；基于上述成果，研制相应的软件，实现大规模GNSS网三频数据整体快速精密处理。研究成果不仅能促进多系统多频率信号在精密定位与定轨中的应用，而且能为高精度参考框架建立及相关地学研究提供重要技术支撑。

The rapid development of Beidou system (BDS) and the modernization of GPS, as well as the increasing number of GNSS ground network, have brought many opportunities and challenges to GNSS data processing and analysis. Not only more stable and reliable GNSS orbit and clock, but also precise coordinate and tis covariance could be derived from integrated data processing of GNSS triple-frequency data for huge network. However, it is rather hard to realize the integrated data processing of GNSS triple-frequency in a strict way. In order to solve this problem, this work intends to develop a new efficient method for huge network of integrated data processing for GNSS triple-frequency data, where the phase inter-frequency bias and UPDs are firstly derived from a suitable network; then, an ambiguity-fixing method for trip-frequency data are developed for converting all phases to Carrier-ranges; After that, the final integrated network data processing are carried out based on Carrier-ranges. The results could extend the application of triple-frequency signals, and could provide important technical support for establishment of high-precision reference frame and the related geodetic researches.