GNSS基准站信噪比联合卫星系统综合定权的手机RTK定位  

Smartphone RTK positioning based on integrated weighting of GNSS base station signal-to-noise ratio and joint satellite system

作　　者：王尔申[1] 王珩 张益泽[2] 程泉润 唐文杰 雷虹[3] WANG Ershen;WANG Heng;ZHANG Yize;CHENG Quanrun;TANG Wenjie;LEI Hong(Shenyang University of Aeronautics and Astronautics,Shenyang 110136,China;Shanghai Astronomical Observatory,Chinese Academy of Sciences,Shanghai 200030,China;Key Laboratory of Aerospace Science and Technology of Electromagnetic Environmental Effects,Shenyang Aircraft Design Institute,Shenyang 110035,China)

机构地区：[1]沈阳航空航天大学,沈阳110136 [2]中国科学院上海天文台,上海200030 [3]沈阳飞机设计研究所电磁环境效应航空科技重点实验室,沈阳110035

出　　处：《全球定位系统》2024年第3期65-72,93,共9页Gnss World of China

摘　　要：随着智能手机芯片和天线性能的不断提升,基于手机的高精度定位逐渐引起学术界和工业界的广泛关注.相较于单点定位,实时动态(real-time kinematic,RTK)定位通常表现出更高的定位性能.然而,目前对于手机RTK定位的随机模型的研究仍相对较少.因此,文中以小米8为例,重点探讨了智能手机在多系统RTK定位情境下的随机模型.研究结果表明:不同系统的卫星伪距噪声存在显著差异,而相位噪声的差异则较小.基于此,本文提出了一种基站信噪比联合卫星系统间综合定权的随机模型.相对于传统的信噪比模型更准确地考虑了不同系统之间的权重分配.并在开阔和遮挡条件下进行了静态和动态实验.结果表明:相比于传统的信噪比模型,新模型在静态开阔、静态遮挡、动态开阔和动态遮挡下三维方向的RTK定位精度分别提升了18.7%、18.3%、3.3%和4.6%.With the continuous improvement of smartphone chip and antenna performance,highprecision positioning based on mobile phones has gradually attracted widespread attention from academia and industry.Compared with single-point positioning,real-time kinematic(RTK)positioning usually shows higher positioning performance.However,there are still relatively few studies on the stochastic model of mobile phone RTK positioning.Therefore,this study takes Xiaomi 8 as an example to focus on the stochastic model of smartphones in a multi-system RTK positioning scenario.The research results show that different systems There are significant differences in satellite pseudorange noise,while the difference in phase noise is smaller.Based on this,this paper proposes a stochastic model of base station signal-to-noise ratio combined with comprehensive weighting between satellite systems,which is more efficient than the traditional signal-to-noise ratio model.The weight distribution between different systems was accurately considered.Static and kinematic experiments were conducted under open and occluded conditions.The results show that compared with the traditional signal-to-noise ratio model,the new model is RTK positioning accuracy in the threedimensional direction under static openness,static occlusion,kinematic openness and kinematic occlusion has increased by 18.7%,18.3%,3.3%and 4.6%respectively.

关 键 词：智能手机 随机模型 信噪比 RTK定位 定位精度 

分 类 号：P228.41[天文地球—大地测量学与测量工程]