Global Navigation Satellite Data Processing Equipment
DOI:
https://doi.org/10.5564/jimdt.v4i1.2664Keywords:
positioning, GNSS, Arduino, trajectory, microcontrollerAbstract
In this work, a circuit-technical model of a data processing device for a global navigation satellite system (GNSS) was created. This prototype device was designed in accordance with the requirements of being able to determine the user’s location within a circle error of 2.5-5m, low price, and good availability of parts. The Kalman filter was also used to reduce the effect of noise. The positioning device is powered by direct current and can be connected to the car’s mains or battery.
Глобал Навигацийн Хиймэл Дагуулын Мэдээлэл Боловсруулах Төхөөрөмж
Хураангуй: Бид энэ ажлаараа глобал навигацийн хиймэл дагуулын (GNSS) мэдээлэл боловсруулах системийн схем-техникийн шийдэл загварыг гаргасан. Энэхүү загвар төхөөрөмжийг хэрэглэгчийн байршлыг 2,5-5м тойргийн алдааны хүрээнд тогтоох боломжтой, үнийн хувьд хямд, эд ангийн хувьд олдоц сайтай байх шаардлагын дагуу бүтээв. Мөн шуугианы нөлөөг бууруулахын тулд Калманы шүүлтүүрийг ашигласан. Байрлал тогтоох төхөөрөмж нь тогтмол гүйдлийн хүчдэлээр тэжээгдэх ба автомашины тэжээлийн хэлхээ болон батарейнд холбогдон ажиллах боломжтой.
Түлхүүр үгс: Байршил, GNSS, Arduino, траектор, микроконтроллер
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References
“Global Navigation Satellite System,” (https://www.princeton.edu/∼alaink/Orf467F07/GNSS.pdf)
K. M. Ng, J. Johari, S. A. C. Abdullah, A. Ahmad, and B. N. Laja, “Performance Evaluation of the RTK-GNSS Navigating under Different Landscape,” 2018, 18th International Conference on Control, Automation and Systems (ICCAS), PyeongChang, Korea (South), pp. 1424-1428, 2018.
https://globalgpssystems.com/gps-receivers/rtk-gnss-receivers/.
“NEO-6 u-blox 6 GPS ModulesData Sheet,” https://content.u-blox.com/sites/default/files-/products/documents/NEO-6_DataSheet_%28GPS.G6-HW-09005%29.pdf
https://docs.arduino.cc/resources/datasheets/A000066-datasheet.pdf.
https://web.archive.org/web/20181016052255/ https://www.cl.cam.ac.uk∼rmf25/papers/-/Understanding%20the%20Basis%20of%20the%20Kalman%20Filter.pdf
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Copyright (c) 2022 Narangii Baasansuren, Uuganbaatar Dulamragchaa, Bukhtsooj Odsuren, Battulga Ulziisaikhan
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