Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

Research on Combined Air Collision Prevention Technology

Authors
Hao Nie
Corresponding Author
Hao Nie
Available Online December 2017.
DOI
10.2991/ecae-17.2018.66How to use a DOI?
Keywords
ATC; TCAS; ads-b; kalman filtering; combination
Abstract

As number and frequency of flight is increasing, the safety of air traffic becomes important issue of concern. Currently what is used to ensure the safety of air traffic contains air traffic control (ATC), airborne collision avoidance system (TCAS) and automatic dependent surveillance technology (ADS-B), which has been widely used. But they are independent of each other, and data fusion is not sharing, which will result that the track data of flight is not the optimization and the judgment of whether there is a potential safety hazard exists is not accuracy. This article made three kinds of technology into combination, using kalman filtering method to get data and track on the three ways for fusion, which gave the best estimate of the aircraft track, and improved the accuracy of air traffic situational judgment.

Copyright
© 2018, 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 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
Series
Advances in Engineering Research
Publication Date
December 2017
ISBN
10.2991/ecae-17.2018.66
ISSN
2352-5401
DOI
10.2991/ecae-17.2018.66How to use a DOI?
Copyright
© 2018, 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  - Hao Nie
PY  - 2017/12
DA  - 2017/12
TI  - Research on Combined Air Collision Prevention Technology
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)
PB  - Atlantis Press
SP  - 308
EP  - 310
SN  - 2352-5401
UR  - https://doi.org/10.2991/ecae-17.2018.66
DO  - 10.2991/ecae-17.2018.66
ID  - Nie2017/12
ER  -