Volume 4 Number 3 (Jun. 2012)
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IJCEE 2012 Vol.4(3): 363-366 ISSN: 1793-8163 DOI: 10.7763/IJCEE.2012.V4.513

A Correlation Based Sensor Fusion Method for Multi-Channel Seismic Network

Mussab Zubair, Klaus Hartmann, and Otmar Loffeld
Abstract—In this paper, an improved method of sensor-level fusion for a multi-channel seismic network is presented for target detection in outdoor security applications. This method determines the weighted values of each sensor present in the seismic network based on the correlation measures and as the change of correlation is observed, the weighted values are adjusted accordingly for real-time data. This method takes full advantage of the limited range of seismic sensors especially in the outdoor environments since the sensors that reflect the state of target have greater weighted values than other sensors in a network. Furthermore, this method is also helpful to identify a failure state or bad data of the sensors. The effectiveness of this method is verified by simulation results. In the end, the application of this method is presented and the fusion results are discussed on real data.

Index Terms—Sensor fusion, correlation, multi-channel seismic network, target Detection.

M. Zubair gratefully acknowledges the support of DAAD on International Postgraduate Programme (IPP) MultiSensorics of the Center of SensorSystems (ZESS) at University of Siegen, Germany.
M. Zubair, K. Hartmann and O. Loffeld are with the Center of SensorSystems (ZESS), University of Siegen, Siegen 57076, Germany (e-mail: zubair@ ipp.zess.uni-siegen.de, Hartmann, Loffeld@ zess.uni-siegen.de).

Cite: Mussab Zubair, Klaus Hartmann, and Otmar Loffeld, "A Correlation Based Sensor Fusion Method for Multi-Channel Seismic Network," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 363-366, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: INSPEC, Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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