Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Positioning Technology for Firefighters' Emergency Rescue Based on CSS

Authors
Gaoping Liu, Huanhuan Tie, Chengrong Dai
Corresponding Author
Gaoping Liu
Available Online April 2016.
DOI
https://doi.org/10.2991/ameii-16.2016.151How to use a DOI?
Keywords
Chirp Spread Spectrum, Fire Rescue, 3D Positioning, Kalman Filter
Abstract

This paper researches a 3D positioning scheme for emergency rescue of trapped firefighters at the fire scene. This scheme adopts Chirp Spread Spectrum (CSS) and its particular Symmetric Double-Sided Two-Way Ranging (SDS-TWR). Combining BMP085 pressure sensor to measure altitude, it can implement 3D positioning of firefighters. Due to the complex environment of the fire scene would cause multipath effect when Chirp signal being transmitted, this scheme uses Kalman filtering method to filter out mutative coordinate value, thus the positioning error can be controlled within 1 m.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
https://doi.org/10.2991/ameii-16.2016.151How to use a DOI?
Copyright
© 2016, 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  - Gaoping Liu
AU  - Huanhuan Tie
AU  - Chengrong Dai
PY  - 2016/04
DA  - 2016/04
TI  - Positioning Technology for Firefighters' Emergency Rescue Based on CSS
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 772
EP  - 777
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.151
DO  - https://doi.org/10.2991/ameii-16.2016.151
ID  - Liu2016/04
ER  -