The Unmanned Aerial Vehicle Vector Tracking System

Article Preview

Abstract:

In the environment of harsh weather or obstacles, the corresponding monitoring department can't achieve remote control and acquire the accurate location of the unmanned aerial vehicle (UAV). According to the existing problem this paper designs a logical control module based on single chip microcomputer (SCM) C8051F040 and UAV real-time tracking system which is positioned by GPS. In this design, through the analysis and extraction of the GPS data, then transmit these data to the host computer through the USB interface with high speed, the unmanned aerial vehicle (UAV) flight vector position such as longitude and altitude information will be displayed by the host computer. After tested for several times, this vector pursuit system can acquire the accurate position of the unmanned aerial vehicle (UAV) and the corresponding flight path within 20 km. To some extent, it provides an effective guarantee for the remote control and monitoring department.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1728-1733

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Li, T. W. GPS Theory and Practice [M]. Beijing: Science Press, (2010).

Google Scholar

[2] ElliottD. Kaplan. GPS Theory and Practice [M]. Beijing: Publishing House of Electronics Industry. 2002, 8.

Google Scholar

[3] HOFMANN B, LICHTENEGGER H. GPS Theory and Practice [M] . New York : Springer – Verlag Wien , (1993).

Google Scholar

[4] Liu, J. Y. Global Positioning System Principle and Application[M]. Beijing: Surveying and Mapping Press, (2004).

Google Scholar

[5] Liu, L. S. , Wu, B. , Cao, K. M., Liu, Y. Difference Self-Calibration Fusion Techniques of Nacigation Satellite Measurement [M]. Beijing: National Defence of Industry Press, 2007. 4.

Google Scholar

[6] Tong, C. F. C8051F MCU Development and C language programming [M]. Beijing University of Aeronautics and Astronautics Press, 2005, 1.

Google Scholar

[7] Liu, L. S. , Wu, B. , Cao, K. M., Liu, Y. Difference Self-Calibration Fusion Techniques of Nacigation Satellite Measurement [M]. Beijing: National Defence of Industry Press, 2007. 4.

Google Scholar

[8] Liu, X. , Wu, X. D. , Yao, J. G. et al. Design of Sampling GPS Data System Based on Single Chip Microromputer [J]. Journal of Qingdao University of Science and Technology. 2006,27(2):173—175.

Google Scholar