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Type-2 Fuzzy Extended Kalman Filter for Dynamic Security Monitoring Based on Novel Sensor Fusion

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DOI: 10.4236/jilsa.2012.43016    3,713 Downloads   6,322 Views  

ABSTRACT

In this paper, we have focused on several relevant sensors [Laser (for speed measurements), Sonar (for space scanning) and RF (for access rights)] to cooperate in monitoring the security status of multiple dynamic agent in surveillance area. Such coordination is achieved by employing novel concepts of sensors similarity and complementarity. Furthermore, this system is aided with Extended Kalman Filter (EKF) in order to estimate the agent’s non-linear movement. Finally, transforms system state to be able to make a security suspiciousness decision by using type-2 fuzzy logic system to handle uncertainty. It is shown that the system performance can exhibit promising improvements for this dynamic security monitoring application.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

T. Dakhlallah, M. Zohdy and O. Salim, "Type-2 Fuzzy Extended Kalman Filter for Dynamic Security Monitoring Based on Novel Sensor Fusion," Journal of Intelligent Learning Systems and Applications, Vol. 4 No. 3, 2012, pp. 159-168. doi: 10.4236/jilsa.2012.43016.

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