Dakhlallah, Tarek and Zohdy, Mohammed and Salim, Omar (2012) Type-2 Fuzzy Extended Kalman Filter for Dynamic Security Monitoring Based on Novel Sensor Fusion. Journal of Intelligent Learning Systems and Applications, 04 (03). pp. 159-168. ISSN 2150-8402
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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.
Item Type: | Article |
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Subjects: | OA Library Press > Engineering |
Depositing User: | Unnamed user with email support@oalibrarypress.com |
Date Deposited: | 08 Feb 2023 07:24 |
Last Modified: | 21 May 2024 12:39 |
URI: | http://archive.submissionwrite.com/id/eprint/170 |