Android smartphone GNSS high-precision real-time dynamic positioning

被引：0
|
作者：
Gao C. [1 ]
Chen B. [1 ]
Liu Y. [1 ]
机构：
[1] School of Transportation, Southeast University, Nanjing
来源：
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | 2021年 / 50卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Android smartphone; GNSS; PPP; Real-time dynamic positioning; RTK;
D O I：
10.11947/j.AGCS.2020.20200107
中图分类号：
学科分类号：
摘要：
Based on the quality and peculiarity of smartphone GNSS measurements, the existing methods of real-time dynamic PPP and RTK positioning are improved, and better smartphone GNSS positioning results obtained. Both positioning methods use a constant-acceleration dynamic single-frequency Kalman filter model with unfixed carrier phase integer ambiguity. Improvements include using smartphone carrier phase observation uncertainty for gross error processing, adopting the strategy of between-satellite single-difference to eliminate the influence of that the differences between smartphone pseudorange and carrier phase observations are not fixed, and modifying the value of smartphone measurements noise variance in the Kalman filtering process. Using one selected smartphone for experimental verification, the results show that its real-time dynamic PPP can reach a stable positioning state within 99 s, the horizontal and vertical RMS positioning error after stabilization are 1.21 and 2.79 m, respectively. RTK positioning can reach a stable state in 29 s, the horizontal and vertical RMS positioning error after stabilization are 0.73 and 0.78 m respectively. The experimental test results show that the current GNSS positioning module of smartphones could provide more accurate location services, and even has the potential for mapping operations in certain specific scenarios. © 2021, Surveying and Mapping Press. All right reserved.
引用
收藏
页码：18 / 26
页数：8
相关论文
共 25 条
  • [1] GIM J, PARK K D., Comparison of positioning accuracy using the pseudorange from Android GPS raw measurements, Journal of Advanced Navigation Technology, 21, 5, pp. 514-519, (2017)
  • [2] ZHANG Xiaohong, TAO Xianlu, ZHU Feng, Et al., Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach, GPS Solutions, 22, 3, (2018)
  • [3] GENG Jianghui, JIANG Enming, LI Guangcai, Et al., An improved hatch filter algorithm towards sub-meter positioning using only Android raw GNSS measurements without external augmentation corrections, Remote Sensing, 11, 14, (2019)
  • [4] REALINI E, CALDERA S, PERTUSINI L, Et al., Precise GNSS positioning using smart devices, Sensors, 17, 10, (2017)
  • [5] SIKIRICA N, MALICE, RUMORA I, Et al., Exploitation of Google GNSS measurement API for risk assessment of GNSS applications, Proceedings of the 25th Telecommunication Forum (TELFOR), pp. 1-3, (2017)
  • [6] SPECHT C, DABROWSKI P S, PAWELSKI J, Et al., Comparative analysis of positioning accuracy of GNSS receivers of Samsung Galaxy smartphones in marine dynamic measurements, Advances in Space Research, 63, 9, pp. 3018-3028, (2019)
  • [7] DABOVE P, DI PIETRA V., Towards high accuracy GNSS real-time positioning with smartphones, Advances in Space Research, 63, 1, pp. 94-102, (2019)
  • [8] World's first dual-frequency GNSS smartphone hits the market
  • [9] Broadcom announces world's first dual frequency GNSS receiver for smartphones
  • [10] WU Qiong, SUN Mengfei, ZHOU Changjie, Et al., Precise point positioning using dual-frequency GNSS observations on smartphone, Sensors, 19, 9, (2019)
123