Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle

The Unmanned Aerial Vehicle (UAV) has been used commonly nowadays. More and more research institutes and companies spent a lot of money on it. In some fields, locating precisely the position of the UAV has become a significant issue. Traditional Global Positioning System (GPS) could guarantee the lo...

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Main Author: Wang, Tao
Other Authors: Wang Jianliang
Format: Theses and Dissertations
Language:English
Published: 2017
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Online Access:http://hdl.handle.net/10356/72566
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-725662023-07-04T16:48:47Z Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle Wang, Tao Wang Jianliang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The Unmanned Aerial Vehicle (UAV) has been used commonly nowadays. More and more research institutes and companies spent a lot of money on it. In some fields, locating precisely the position of the UAV has become a significant issue. Traditional Global Positioning System (GPS) could guarantee the location of the UAV in meter precision. But this precision for UAV’s application is not enough. A more precise locating system Real Time Kinematic (RTK) which uses Global Navigation Satellite System (GNSS) will be a better choice. The accuracy is around 1-2cm horizontally or vertically. Hence, this project will focus on to achieve this accuracy. Through researching RTKLIB, using Raspberry PI and NVS receiver cards combined with the RTKLIB to conduct experiments. As expected, the result of this method is excellent and it is practical to use this in UAV application such as Search & Rescue and Express Delivery. This project consists of two parts namely the RTK Base station and Rover station. The Base station is the main station that sends correction data to the Rover station for use in real time and post processing later. Using corrections Rover station can compute the number (ambiguity integer) of wavelengths between the satellite and the Rover station. Combining with common estimation method such as Kalman filter, it can calculate this integer and finally get the accurate location. Finally, the best test conducting on the top of parking garage under a clear sky, when the UAV is stable, the average positioning accuracy can achieve 1 cm, when it is moving, the average positioning accuracy is 5 cm. Master of Science (Computer Control and Automation) 2017-08-28T12:40:22Z 2017-08-28T12:40:22Z 2017 Thesis http://hdl.handle.net/10356/72566 en 85 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Wang, Tao
Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
description The Unmanned Aerial Vehicle (UAV) has been used commonly nowadays. More and more research institutes and companies spent a lot of money on it. In some fields, locating precisely the position of the UAV has become a significant issue. Traditional Global Positioning System (GPS) could guarantee the location of the UAV in meter precision. But this precision for UAV’s application is not enough. A more precise locating system Real Time Kinematic (RTK) which uses Global Navigation Satellite System (GNSS) will be a better choice. The accuracy is around 1-2cm horizontally or vertically. Hence, this project will focus on to achieve this accuracy. Through researching RTKLIB, using Raspberry PI and NVS receiver cards combined with the RTKLIB to conduct experiments. As expected, the result of this method is excellent and it is practical to use this in UAV application such as Search & Rescue and Express Delivery. This project consists of two parts namely the RTK Base station and Rover station. The Base station is the main station that sends correction data to the Rover station for use in real time and post processing later. Using corrections Rover station can compute the number (ambiguity integer) of wavelengths between the satellite and the Rover station. Combining with common estimation method such as Kalman filter, it can calculate this integer and finally get the accurate location. Finally, the best test conducting on the top of parking garage under a clear sky, when the UAV is stable, the average positioning accuracy can achieve 1 cm, when it is moving, the average positioning accuracy is 5 cm.
author2 Wang Jianliang
author_facet Wang Jianliang
Wang, Tao
format Theses and Dissertations
author Wang, Tao
author_sort Wang, Tao
title Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
title_short Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
title_full Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
title_fullStr Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
title_full_unstemmed Real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
title_sort real time kinematic satellite navigation of a hexarotor unmanned aerial vehicle
publishDate 2017
url http://hdl.handle.net/10356/72566
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