Seismic Signal Warning and Classification Algorithm Based on Noise and Improved Zero Crossing

DOI

10.2991/ameii-15.2015.301How to use a DOI?

Keywords

Seismic signal; Zero Crossing; warning algorithm; target identification.

Abstract

Seismic signal generated by moving on ground by person and vehicle target is sensed by MEMS accelerometer, then collected and processed by MSP430, achieving early-warming and target identification of ground targets. A seismic signal warning algorithm based on the characteristics of noise is proposed as to early-warming and a seismic signal target classification algorithm based on improved zero crossing is used to identify different kind of targets. The results show that person within 8 meters and vehicles within 20 meters away from the accelerometer can be detected and identified effectively. The correct identification rate can reach 85% or more. This algorithm is very simple and practical when processing signal collected by sensors with digital output.

Copyright

© 2015, 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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TY  - CONF
AU  - Yuxiao Tan
AU  - Guanglin He
AU  - Hai Pan
PY  - 2015/04
DA  - 2015/04
TI  - Seismic Signal Warning and Classification Algorithm Based on Noise and Improved Zero Crossing
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1627
EP  - 1632
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.301
DO  - 10.2991/ameii-15.2015.301
ID  - Tan2015/04
ER  -