摘要
为了充分发挥BDS-3和Galileo多频信号在中长基线RTK定位中的优势,提出了一种基于BDS-3和Galileo多频弱电离层组合的中长基线RTK定位方法。首先分析了BDS-3和Galileo具有的低噪声和弱电离层延迟的多频组合观测值特性;在此基础上构建了基于弱电离层组合的双系统中长基线RTK定位模型,并与常规的双频无电离层组合模型进行了对比分析;最后采用实测数据对两种模型的定位效果进行了测试。分析结果表明,BDS-3(2,2,-3,0,0)组合和Galileo(4,-2,0,-1,0)组合具有较好的组合特性,其基本消除了电离层延迟的影响,且具有与常规双频无电离层组合相当的有效波长和更优的观测噪声水平。实测数据结果表明,弱电离层组合模型在可搜索模糊度数量、首次固定时间、定位精度方面均优于常规双频无电离层组合模型10%以上。因此,能以较小的数据传输量应用于中长基线RTK定位中。
In order to take full advantages of BDS-3 and Galileo multi-frequency signals on medium-baseline RTK positioning,a medium-baseline RTK positioning method based on multi-frequency ionosphere-reduced combinations is proposed.Firstly,the characteristics of BDS-3 and Galileo integer linear combinations with low noise and weak ionosphere delay are analyzed.On this basis,a combined BDS-3/Galileo medium-baseline real-time kinematic(RTK)positioning model is constructed,and compared with the conventional dual-frequency ionosphere-free(IF)model.The real multi-frequency data is used to test the positioning performance of the two models.The analysis show that the BDS-3(2,2,-3,0,0)combination and Galileo(4,-2,0,-1,0)combination have best characteristics.These two ionosphere-reduced(IR)combinations almost eliminate the effect of ionosphere delay,and has the equivalent wavelength and better observation precision compared with conventional dual-frequency IF combination.Besides,the there is no wide-lane ambiguity needs to be resolved in the IR model.The results using real data show that the IR model is more than 10%superior to the conventional dual-frequency IF model in terms of the number of searchable ambiguities,the time to the first fix and the positioning accuracy.There for the IR model can be used in medium-baseline RTK positioning with a small amount of data transmission.
作者
高旺
潘树国
黄功文
GAO Wang;PAN Shuguo;HUANG Gongwen(School of Instrument Science and Engineering,Southeast University,Nanjing 210096,China;Geodetic Data Processing Centre of Ministry of Natural Resources,Xi'an 710054,China)
出处
《中国惯性技术学报》
EI
CSCD
北大核心
2020年第6期783-788,共6页
Journal of Chinese Inertial Technology
基金
国家自然科学基金(41904022)
中央高校基本科研业务费专项资金(2242020R40135)。