测绘通报 ›› 2021, Vol. 0 ›› Issue (1): 18-23.doi: 10.13474/j.cnki.11-2246.2021.0004

• 智能终端导航与位置服务 • 上一篇    下一篇

单双频智能手机GNSS定位精度分析

王式太, 杨诗妮, 李雪珍   

  1. 桂林理工大学测绘地理信息学院, 广西 桂林 541000
  • 收稿日期:2020-08-16 发布日期:2021-02-08
  • 通讯作者: 杨诗妮。E-mail:15878869076@163.com
  • 作者简介:王式太(1982-),男,博士,副教授,主要从事GNSS精密导航与定位研究。E-mail:2017084@glut.edu.cn
  • 基金资助:
    广西自然科学基金(2018GXNSFAA281279)

Analysis of GNSS positioning accuracy of single and dual frequency smart phone

WANG Shitai, YANG Shini, LI Xuezhen   

  1. College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541000, China
  • Received:2020-08-16 Published:2021-02-08

摘要: 为分析单、双频手机在单点定位和动态导航中的差异,本文对单、双频手机观测卫星数、信噪比、静态/动态定位中原始观测值/卡尔曼滤波值进行了对比和分析。试验结果表明,在静态无遮挡的试验条件下,小米MI8双频手机原始观测值较OPPO Reno单频手机定位误差均值减小了1.70 m且能观测到更多的卫星数,进行卡尔曼滤波处理后,单频手机较双频手机而言精度提升更多,两者最终精度相当。而在动态有遮挡的试验条件下,双频较单频定位误差均值减小了5.24 m,进行卡尔曼滤波处理后,两者精度均有明显改善,双频相对单频误差均值减小了0.87 m。

关键词: 智能手机, 卡尔曼滤波, GNSS Analysis产品, 双频观测值

Abstract: In order to analyze the difference between single-frequency and dual-frequency smartphones in single-point positioning and dynamic navigation, this paper compares and analyzes the number of satellites, SNR, the original observation values and Kalman filtering values in static or dynamic positioning observed by single-frequency and dual-frequency smart phones. The experimental results show that under the static and unobstructed experimental conditions, compared with the original observation value of OPPO Reno single-frequency smartphone, the average positioning error of Xiaomi Mi8 dual-frequency smart phone, which can be observed by more satellites and reduced by 1.70 m. After Kalman filtering processing, the single-frequency mobile phone shows a higher accuracy improvement than the dual-frequency smart phone and the final precision of both is equivalent. Under the experimental conditions of dynamic occlusion, the average value of positioning error of dual frequency is reduced by 5.24 m compared with that of single frequency. After Kalman filtering processing, the accuracy of both has been significantly improved, and the average error of dual-frequency relative to single-frequency is reduced by 0.87 m.

Key words: smartphone, Kalman filtering, GNSS Analysis, dual frequency observation

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