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网络RTK参考站间模糊度动态解算的卡尔曼滤波算法研究 被引量:36

A Kalman Filtering Algorithm for Online Integer Ambiguity Resolution in Reference Station Network
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摘要 提出一种适用于参考站网络的站间模糊度解算方法,该方法使用CA码与相位的电离层无关组合解算宽巷模糊度,利用多路径效应的周期性削弱CA码多路径效应。在宽巷模糊度得到固定后,利用卡尔曼滤波对L1模糊度进行估计,并使用模糊度失相关搜索算法,动态地确定模糊度。这种方法已经应用在自主开发的网络RTK软件上,并以四川GPS综合服务网络SIGN(Sichuan Integrated GPS Network)作为试验网络,进行了试验和分析。 An online integer ambiguity resolution method with the ionosphere-free wide-lane combination of the CA code and the phase is presented and studied; the multipath of CA code can be mitigated by the value of previous sidereal day. The integer ambiguity of carrier phase on L1 band can be quickly fixed using Kalman filtering and ambiguity deeorrelation algorithm based on the wide lane integer ambiguity solution. The proposed method has been used in a self-developed network RTK system. It analyzes the efficiency and reliability via the software based on SIGN (Sichuan Integrated GPS Network).
出处 《测绘学报》 EI CSCD 北大核心 2007年第1期37-42,共6页 Acta Geodaetica et Cartographica Sinica
基金 国家自然科学基金项目(40271091) 教育部博士点基金项目(20040613025) 教育部优秀教师资助计划(2003109)
关键词 GPS 参考站网络 整周模糊度 动态解算 GPS reference station network integer ambiguity online resolution
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参考文献11

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