Development of a low cost NTRIP-based RTK-GNSS base station for precise positioning

被引：0
作者：
Njane, Stephen Njehia [1 ]
机构：
[1] Hokkaido Agricultural Research Center, National Agriculture and Food Research Organization
来源：
Engineering in Agriculture, Environment and Food | 2024年 / 17卷 / 02期
关键词：
base station; client; precision; receiver; RTK-GNSS;
D O I：
10.37221/eaef.17.2_74
中图分类号：
学科分类号：
摘要：
A low-cost RTK-GNSS base station using a Raspberry Pi 4 with a cellular sim card as a server was developed for precise positioning. A u-blox ZED-F9 P GNSS module connected to an antenna was connected to the Raspberry Pi 4 for correcting RTK signals. An open source NTRIP 1.0 caster was utilised after which a tractor, fixed-wing UAV and multi-rotor UAVs could be connected at the same time with a fast time-to-first fix (TTFF). For accuracy comparison, it was found that positions calculated with RTK data from Memuro Base Station had a lower horizontal error of 7.2±4.5 mm compared to that of conventional subscription Nippon GPS Data Service which had a horizontal error of 9.2±5.75 mm. © 2024 Asian Agricultural and Biological Engineering Association. All rights reserved.
引用
收藏
页码：74 / 81
页数：7
相关论文
共 20 条
  • [1] Aykut N. O., Et al., Performance of single base RTK GNSS method versus network RTK, Earth Sciences Research Journal, 19, 2, pp. 135-139, (2015)
  • [2] Barry P., Et al., Field accuracy test of RPAS photogrammetry, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 27-31, (2013)
  • [3] Du Y., Et al., A new asynchronous RTK method to mitigate base station observation outages, Sensors, 19, 15, (2019)
  • [4] Ekaso D., Et al., Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing, Geo-Spatial Information Science, 23, 2, pp. 165-181, (2020)
  • [5] Hugenholtz C., Et al., Spatial accuracy of UAV-derived ortho-imagery and topography: Comparing photogrammetric models processed with direct geo-referencing and ground control points, Geomatica, 70, 1, pp. 21-30, (2016)
  • [6] Kato T., Et al., A new tsunami monitoring system using RTK-GPS, Proceedings of the International Tsunami Symposium 2001, pp. 645-651, (2001)
  • [7] Kise M., Et al., Development of the agricultural autonomous tractor with an RTK-GPS and a FOG. Proceedings of the 4th IFAC Symposium on Intelligent Autonomous Vehicles (IAV 2001), 34, 19, pp. 99-104, (2001)
  • [8] Njane S. N., Et al., Phenotyping system for precise monitoring of potato crops during growth, Engineering in Agriculture, Environment and Food, 16, 1, pp. 24-36, (2023)
  • [9] Njane S. N., Et al., Effect of varying UAV height on the precise estimation of potato crop growth, Frontiers in Plant Science, 14, (2023)
  • [10] Perez-Ruiz M., Et al., Tractor-based Real-time Kinematic-Global Positioning System (RTK-GPS) guidance system for geospatial mapping of row crop transplant, Biosystems Engineering, 111, 1, pp. 64-71, (2012)
12