测绘通报 ›› 2021, Vol. 0 ›› Issue (12): 44-49,98.doi: 10.13474/j.cnki.11-2246.2021.370

• 学术研究 • 上一篇    下一篇

复杂环境下智能手机RTK+PDR融合定位

徐国梁1, 李圳1, 陶钧2, 郭靖1, 赵齐乐1   

  1. 1. 武汉大学卫星导航定位技术研究中心, 湖北 武汉 430079;
    2. 武汉大学测绘学院, 湖北 武汉 430079
  • 收稿日期:2020-11-23 发布日期:2021-12-30
  • 通讯作者: 郭靖。E-mail:13429313661@163.com
  • 作者简介:徐国梁(1997-),男,硕士生,主要研究方向为室内外无缝定位、多源传感器融合定位。E-mail:xuguoliang@whu.edu.cn
  • 基金资助:
    国家自然科学基金(41974035);第四届中国科协青年人才托举工程(2018QNRC001)

RTK+PDR fusion positioning for smart phone in complex environment

XU Guoliang1, LI Zhen1, TAO Jun2, GUO Jing1, ZHAO Qile1   

  1. 1. GNSS Research Center, Wuhan University, Wuhan 430079, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2020-11-23 Published:2021-12-30

摘要: 针对室外复杂环境下智能手机定位精度低、抗干扰能力不足的问题,本文利用手机GNSS观测值和手机内置IMU数据,采用RTK和PDR算法融合定位,对比分析了小米8和华为Mate20X两款手机的GNSS数据质量和融合定位算法性能,以及不同观测条件下融合算法的定位精度和稳定性。试验结果表明,在良好和复杂两种观测条件下,采用RTK算法定位精度分别为1.8 m和4.6 m;采用RTK+PDR融合算法定位精度分别为1.2 m和2.6 m,在两种环境下,RTK+PDR融合算法的精度分别提高了50%和76%,即显著提高了智能手机在室外复杂环境下的定位精度。

关键词: 高精度定位, PDR, RTK, 智能手机, 融合定位

Abstract: For the problem of low positioning accuracy and insufficient anti-jamming capability of smart phones in complex outdoor environments, real time kinematic (RTK) and pedestrian dead reckoning (PDR) algorithms are integrated to position based on raw GNSS observations and built-in IMU data from smart phone in this paper. And the GNSS data from Xiaomi8 and Huawei Mate20X mobile phone are compared and analyzed. The positioning accuracy and stability with the proposed methods are assessed under different observation conditions. The experiment results show that the RTK algorithm can reach a positioning accuracy of 1.8 m and 4.6 m in good and complex observation environment respactively, and the RTK+PDR fusion algorithm can reach a positioning accuracy of 1.2 m and 2.6 m respectively. This positioning accuracy are 50% and 76% higher than that of RTK algorithm. The positioning accuracy and stability of smart phones is improved significantly in complex outdoor environments.

Key words: high-precision positioning, PDR, RTK, smart phone, fusion positioning

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