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一种北斗卫星导航系统三频非差网络RTK方法 被引量:6

An Algorithm of BDS Un-difference Network RTK with Triple-frequency
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摘要 针对双差网络RTK(real-time kinematic)中测站和卫星间相关性导致数据处理复杂的问题,提出了一种北斗系统三频非差网络RTK方法。首先利用北斗系统三频超宽巷、宽巷和三频整周模糊度之间的整数线性关系确定参考站间双差整周模糊度。然后根据参考站间双差整周模糊度与非差整周模糊度的组合关系单历元快速确定参考站间非差整周模糊度。在此基础上,建立高精度非差区域误差改正模型,实现流动站观测值的误差改正和整周模糊度固定。使用实测的CORS(continuously operating reference stations)网三频观测数据进行算法验证,结果表明,该方法可有效克服双差网络RTK带来的测站和卫星间的相关性,使网络RTK的作业方式更加灵活。 According to the problem of complex data processing caused by the correlation between stations and satellites in the double-difference network RTK(real-time kinematic), an algorithm of BDS un-difference network RTK with triple-frequency is proposed. Firstly, the integer linear relationship among extra-widelane, wide-lane and triple-frequency integer ambiguity is used to determine double-difference integer ambiguity between BDS network RTK reference stations. Then, according to the composition relationship between double-difference and un-difference integer ambiguity, un-difference integer ambiguity between reference stations is quickly determined at single epoch. On this basis, a high-precision region error correction model of BDS un-difference is established to realize the error correction and integer ambiguity fixing of use. This algorithm is tested by the measured triple-frequency data of BDS CORS(continuously operating reference stations) network. The results indicate that the algorithm of un-difference network RTK with triple-frequency can effectively overcome the correlation between station and satellite which is brought by the double-difference network RTK and make the operating type of the network RTK more flexible.
作者 高猛 徐爱功 祝会忠 徐宗秋 徐辛超 GAO Meng;XU Aigong;ZHU Huizhong;XU Zongqiu;XU Xinchao(School of Geomatic,Liaoning Technical University,Fuxin 123000,China)
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2020年第7期996-1001,1014,共7页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金(41904037) 国家重点研发计划(2016YFC0803102)。
关键词 BDS 非差网络RTK 三频 基准 约束条件 BeiDou navigation satellite system un-difference network RTK triple-frequency benchmark constraint conditions
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