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
- 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/).
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 - 10.2991/ameii-16.2016.151 ID - Liu2016/04 ER -