Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Research on Unmanned Airborne Millimeter - wave Broadband Obstacle Avoidance Radar System Based on FPGA

Authors
Yiran Ma, Wei Xu, Wanguo Wang, Liang Liu
Corresponding Author
Yiran Ma
Available Online July 2016.
DOI
10.2991/iccia-17.2017.144How to use a DOI?
Keywords
Millimeter wave obstacle avoidance radar, linear frequency modulation source, FPGA.
Abstract

UAVs often need to perform tasks in low-level complex environments. In order to protect the safety of UAVs, it is necessary to avoid radar and to avoid early warning and obstruction. In this paper, the obstacle avoidance radar of UAV is analyzed deeply, and a stable, low cost and miniaturized LFM broadband millimeter wave obstacle avoidance radar is designed to solve the problem of UAV flight safety. The test data show that the designed millimeter wave obstacle avoidance radar system meets the requirements of UAV obstacle avoidance.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
10.2991/iccia-17.2017.144
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.144How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yiran Ma
AU  - Wei Xu
AU  - Wanguo Wang
AU  - Liang Liu
PY  - 2016/07
DA  - 2016/07
TI  - Research on Unmanned Airborne Millimeter - wave Broadband Obstacle Avoidance Radar System Based on FPGA
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 820
EP  - 823
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.144
DO  - 10.2991/iccia-17.2017.144
ID  - Ma2016/07
ER  -