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http://dx.doi.org/10.5370/JEET.2015.10.6.2356

A New Optimized Localized Technique of CG Return Stroke Lightning Channel in Forest  

Kabir, Homayun (Faculty of Engineering, Department of Electrical Engineering, University of Malaya)
Kanesan, Jeevan (Faculty of Engineering, Department of Electrical Engineering, University of Malaya)
Reza, Ahmed Wasif (Faculty of Engineering, Department of Electrical Engineering, University of Malaya)
Ramiah, Harikrishnan (Faculty of Engineering, Department of Electrical Engineering, University of Malaya)
Dimyati, Kaharudin (Department of Electrical and Electronics Engineering, Faculty of Engineering, National Defence University of Malaysia)
Publication Information
Journal of Electrical Engineering and Technology / v.10, no.6, 2015 , pp. 2356-2363 More about this Journal
Abstract
Localization of lightning strike point (LSP) in the forest is modeled to mitigate the forest fire damage. Though forest fire ignited by lightning rarely happens, its damage on the forest is grievousness. Therefore, predicting accurate location of LSP becomes crucial in order to control the forest fire. In this paper, we proposed a new hybrid localization algorithm by combining the received signal strength (RSS) and the received signal strength ratio (RSSR) to improve the accuracy by mitigating the environmental effect of lightning strike location in the forest. The proposed hybrid algorithm employs antenna theory (AT) model of cloud-to-ground (CG) return stroke lightning channel to forecast the location of the lightning strike. The obtained results show that the proposed hybrid algorithm achieves better location accuracy compared to the existing RSS method for predicting the lightning strike location considering additive white Gaussian noise (AWGN) environment.
Keywords
Lightning; Localization; Antenna theory; RSSR; Sensor network;
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