增强参考站网络RTK算法模型及其实验研究

Strategy and Experimental Results of Augmentation Reference Station Network RTK Positioning

摘要: 通过GPS观测网提供高时空分辨率、连续、全天候实时地测量数据,反演出实时的大气可降水量的变化序列,由此在气象综合信息分析处理平台上构建成都地区GPS水汽实时监测及气象业务应用系统,为灾害性天气(如暴雨、持续性阴雨、雨雪、浓雾)监测和短时临近预报提供重要依据,并可为多学科综合研究大气水汽的时空变化以及空中水资源的开发利用奠定基础。

Abstract: An augmentation reference station network RTK positioning software (ARSNet) package has been developed and tested at Southwest Jiaotong University (SWJTU) to provide high-precision RTK positioning service. This software system is currently in operation on Sichuan integrated GPS reference station network in Sichuan,China. Data processing strategies for the ARSNet system,including real time data checking,integer ambiguity parallel filtering with a sidereal filtering to mitigate multi-path as well as tropospheric delay modeling were presented and tested. It shows that the RTK positioning accuracy is better than 2 cm in the horizontal direction and 4 cm in the vertical direction within the area of network coverage.